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Super-MultiModal Human Analysis Platform for Next Generation of Advanced Retrieval

Research Project

Project/Area Number 17H01744
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Multimedia database
Research InstitutionHokkaido University

Principal Investigator

Haseyama Miki  北海道大学, 情報科学研究院, 教授 (00218463)

Co-Investigator(Kenkyū-buntansha) 高橋 翔  北海道大学, 工学研究院, 准教授 (00708018)
小川 貴弘  北海道大学, 情報科学研究院, 准教授 (20524028)
畠山 泰貴  広島市立大学, 情報科学研究科, 助教 (10786370)
Project Period (FY) 2017-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥18,460,000 (Direct Cost: ¥14,200,000、Indirect Cost: ¥4,260,000)
Fiscal Year 2021: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2020: ¥3,120,000 (Direct Cost: ¥2,400,000、Indirect Cost: ¥720,000)
Fiscal Year 2019: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2018: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2017: ¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Keywordsマルチメディア解析 / 深層学習 / IoT / 生体情報 / マルチモーダル / 映像解析 / 検索 / 推薦 / センサーデータ / マルチメディア検索 / マルチメディア推薦 / 人間情報解析 / 興味推定 / 画像 / 機械学習 / 人工知能 / マルチモーダル解析
Outline of Final Research Achievements

We constructed a super-multimodal human analysis infrastructure to realize the next-generation retrieval technology that can accurately estimate users’ interests through sensory data. In this research, we have succeeded in constructing the fundamental technology that was the goal of our research, and conducted demonstration experiments to verify the effectiveness of our technology. Specifically, we constructed an information retrieval and recommendation system based on the super-multimodal human analysis platform and verified the effectiveness of the technology for tourists in the digital signage space in Sapporo City. In summary, this research has contributed to the formation of fundamental technology in the field of multimedia search and recommendation by establishing a super-multimodal human analysis infrastructure and demonstrating its effectiveness.

Academic Significance and Societal Importance of the Research Achievements

これまでマルチメディアデータ解析とセンターデータ解析は、異なる研究分野として発展してきた。これに対し、マルチメディアデータとセンサーデータという極めて異質なデータを融合的に解析し、さらには複数のユーザ、異種情報源を横断的に解析可能とする点が、本研究の独創的な点である。本研究成果によって、ユーザの興味に合致したコンテンツやユーザの横断的検索が可能となった。加えて、本研究成果はスーパーマルチモーダル人間情報解析基盤は検索のみならず、推薦、広告提示、オピニオンマイニングなど、人間が関与する様々な研究領域に広く応用可能であることから、幅広い分野に対して貢献可能な技術である。

Report

(6 results)
  • 2021 Annual Research Report   Final Research Report ( PDF )
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • 2018 Annual Research Report
  • 2017 Annual Research Report
  • Research Products

    (386 results)

All 2022 2021 2020 2019 2018 2017

All Journal Article (69 results) (of which Peer Reviewed: 69 results,  Open Access: 46 results,  Acknowledgement Compliant: 1 results) Presentation (317 results) (of which Int'l Joint Research: 154 results,  Invited: 7 results)

  • [Journal Article] Time-Lag Aware Latent Variable Model for Prediction of Important Scenes Using Baseball Videos and Tweets2022

    • Author(s)
      Hirasawa Kaito、Maeda Keisuke、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      Sensors

      Volume: 22 Issue: 7 Pages: 2465-2465

    • DOI

      10.3390/s22072465

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Defect Detection of Subway Tunnels Using Advanced U-Net Network2022

    • Author(s)
      Wang An、Togo Ren、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      Sensors

      Volume: 22 Issue: 6 Pages: 2330-2330

    • DOI

      10.3390/s22062330

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Interactive Re-ranking via Object Entropy-Guided Question Answering for Cross-Modal Image Retrieval2022

    • Author(s)
      Yanagi Rintaro、Togo Ren、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      ACM Transactions on Multimedia Computing, Communications, and Applications

      Volume: 18 Issue: 3 Pages: 1-17

    • DOI

      10.1145/3485042

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Refining Graph Representation for Cross-Domain Recommendation Based on Edge Pruning in Latent Space2022

    • Author(s)
      Hirakawa Taisei、Maeda Keisuke、Ogawa Takahiro、Asamizu Satoshi、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 10 Pages: 12503-12509

    • DOI

      10.1109/access.2022.3142187

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] [Paper] Deep Reinforcement Learning-based Music Recommendation with Knowledge Graph Using Acoustic Features2022

    • Author(s)
      Sakurai Keigo、Togo Ren、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      ITE Transactions on Media Technology and Applications

      Volume: 10 Issue: 1 Pages: 8-17

    • DOI

      10.3169/mta.10.8

    • NAID

      130008139394

    • ISSN
      2186-7364
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Domain Adaptive Cross-Modal Image Retrieval via Modality and Domain Translations2021

    • Author(s)
      YANAGI Rintaro、TOGO Ren、OGAWA Takahiro、HASEYAMA Miki
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E104.A Issue: 6 Pages: 866-875

    • DOI

      10.1587/transfun.2020IMP0011

    • NAID

      130008046413

    • ISSN
      0916-8508, 1745-1337
    • Year and Date
      2021-06-01
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] A Proposal and Evaluation of a New Method Incorporating Indicators of Blood Flow and Resistance to Improve the Accuracy of Continuous Blood Pressure Estimation Using PPG2021

    • Author(s)
      Kawakami Ken、Sumitomo Kazuhiro、Kanno Atsuhiro、Ogawa Takahiro、Minami Shigenobu、Haseyama Miki
    • Journal Title

      IEEJ Transactions on Sensors and Micromachines

      Volume: 141 Issue: 6 Pages: 186-196

    • DOI

      10.1541/ieejsmas.141.186

    • NAID

      130008046598

    • ISSN
      1341-8939, 1347-5525
    • Year and Date
      2021-06-01
    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Microscopy and biomimetics: the NanoSuit? method and image retrieval platform2021

    • Author(s)
      Hariyama Takahiko、Takaku Yasuharu、Kawasaki Hideya、Shimomura Masatsugu、Senoh Chiyo、Yamahama Yumi、Hozumi Atsushi、Ito Satoru、Matsuda Naoto、Yamada Satoshi、Itoh Toshiya、Haseyama Miki、Ogawa Takahiro、Mori Naoki、So Shuhei、Mitsuno Hidefumi、Ohara Masahiro、Nomura Shuhei、Hirasaka Masao
    • Journal Title

      Microscopy

      Volume: 71 Issue: 1 Pages: 1-12

    • DOI

      10.1093/jmicro/dfab042

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Feature Integration Through Semi-Supervised Multimodal Gaussian Process Latent Variable Model With Pseudo-Labels for Interest Level Estimation2021

    • Author(s)
      Kamikawa Kyohei、Maeda Keisuke、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 9 Pages: 163843-163850

    • DOI

      10.1109/access.2021.3131979

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Reliable Estimation of Deterioration Levels via Late Fusion Using Multi-View Distress Images for Practical Inspection2021

    • Author(s)
      Maeda Keisuke、Ogawa Naoki、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      Journal of Imaging

      Volume: 7 Issue: 12 Pages: 273-273

    • DOI

      10.3390/jimaging7120273

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] User-centric multimodal feature extraction for personalized retrieval of tumblr posts2021

    • Author(s)
      Ohtomo Kazuma、Harakawa Ryosuke、Ogawa Takahiro、Haseyama Miki、Iwahashi Masahiro
    • Journal Title

      Multimedia Tools and Applications

      Volume: 81 Issue: 2 Pages: 2979-3003

    • DOI

      10.1007/s11042-021-11634-0

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Disentangled Representation Learning in Real-World Image Datasets via Image Segmentation Prior2021

    • Author(s)
      Nakagawa Nao、Togo Ren、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 9 Pages: 110880-110888

    • DOI

      10.1109/access.2021.3101229

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Detection of Important Scenes in Baseball Videos via Bidirectional Time Lag Aware Deep Multiset Canonical Correlation Analysis2021

    • Author(s)
      Hirasawa Kaito、Maeda Keisuke、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 9 Pages: 84971-84981

    • DOI

      10.1109/access.2021.3088284

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts’ Knowledge2021

    • Author(s)
      Ogawa Naoki、Maeda Keisuke、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 9 Pages: 65234-65245

    • DOI

      10.1109/access.2021.3074019

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder2021

    • Author(s)
      Hirasawa Kaito、Maeda Keisuke、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      Sensors

      Volume: 21 Issue: 6 Pages: 2045-2045

    • DOI

      10.3390/s21062045

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Perceived Image Decoding From Brain Activity Using Shared Information of Multi-Subject fMRI Data2021

    • Author(s)
      Akamatsu Yusuke、Harakawa Ryosuke、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 9 Pages: 26593-26606

    • DOI

      10.1109/access.2021.3057800

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis via Ordinal Label Dequantization for Image Interest Estimation2021

    • Author(s)
      Matsumoto Masanao、Saito Naoki、Maeda Keisuke、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 9 Pages: 21810-21822

    • DOI

      10.1109/access.2021.3055868

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] [Paper] User-selectable Event Summarization in Unedited Raw Soccer Video via Multimodal Bidirectional LSTM2021

    • Author(s)
      Haruyama Tomoki、Takahashi Sho、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      ITE Transactions on Media Technology and Applications

      Volume: 9 Issue: 1 Pages: 42-53

    • DOI

      10.3169/mta.9.42

    • NAID

      130007965625

    • ISSN
      2186-7364
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] [Paper] Personalized Recommendation of Tumblr Posts Using Graph Convolutional Networks with Preference-aware Multimodal Features2021

    • Author(s)
      Ohtomo Kazuma、Harakawa Ryosuke、Ogawa Takahiro、Haseyama Miki、Iwahashi Masahiro
    • Journal Title

      ITE Transactions on Media Technology and Applications

      Volume: 9 Issue: 1 Pages: 54-61

    • DOI

      10.3169/mta.9.54

    • NAID

      130007965621

    • ISSN
      2186-7364
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Multi-Task Convolutional Neural Network Leading to High Performance and Interpretability via Attribute Estimation2020

    • Author(s)
      MAEDA Keisuke、HORII Kazaha、OGAWA Takahiro、HASEYAMA Miki
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E103.A Issue: 12 Pages: 1609-1612

    • DOI

      10.1587/transfun.2020SML0006

    • NAID

      130007948361

    • ISSN
      0916-8508, 1745-1337
    • Year and Date
      2020-12-01
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Heterogeneous-Graph-Based Video Search Reranking Using Topic Relevance2020

    • Author(s)
      YOSHIDA Soh、MUNEYASU Mitsuji、OGAWA Takahiro、HASEYAMA Miki
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E103.A Issue: 12 Pages: 1529-1540

    • DOI

      10.1587/transfun.2020SMP0023

    • NAID

      130007948319

    • ISSN
      0916-8508, 1745-1337
    • Year and Date
      2020-12-01
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes With Time in Visual Attention and Brain Activity2020

    • Author(s)
      Moroto Yuya、Maeda Keisuke、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 8 Pages: 203358-203368

    • DOI

      10.1109/access.2020.3036908

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Brain Decoding of Viewed Image Categories via Semi-Supervised Multi-View Bayesian Generative Model2020

    • Author(s)
      Akamatsu Yusuke、Harakawa Ryosuke、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Transactions on Signal Processing

      Volume: 68 Pages: 5769-5781

    • DOI

      10.1109/tsp.2020.3028701

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Estimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User Selection2020

    • Author(s)
      Maeda Keisuke、Kushima Tetsuya、Takahashi Sho、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 8 Pages: 126109-126118

    • DOI

      10.1109/access.2020.3007963

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] [Paper] A Method for Player Importance Prediction from Player Network Using Gaze Position Estimated by LSTM2020

    • Author(s)
      Suzuki Genki、Takahashi Sho、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      ITE Transactions on Media Technology and Applications

      Volume: 8 Issue: 3 Pages: 151-160

    • DOI

      10.3169/mta.8.151

    • NAID

      130007868235

    • ISSN
      2186-7364
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Supervised Fractional-Order Embedding Geometrical Multi-View CCA (SFGMCCA) for Multiple Feature Integration2020

    • Author(s)
      Maeda Keisuke、Ito Yoshiki、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 8 Pages: 114340-114353

    • DOI

      10.1109/access.2020.3003619

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Enhancing Cross-Modal Retrieval Based on Modality-Specific and Embedding Spaces2020

    • Author(s)
      Yanagi Rintaro、Togo Ren、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 8 Pages: 96777-96786

    • DOI

      10.1109/access.2020.2995815

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Few-Shot Personalized Saliency Prediction Based on Adaptive Image Selection Considering Object and Visual Attention2020

    • Author(s)
      Moroto Yuya、Maeda Keisuke、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      Sensors

      Volume: 20 Issue: 8 Pages: 2170-2170

    • DOI

      10.3390/s20082170

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Tensor-Based Emotional Category Classification via Visual Attention-Based Heterogeneous CNN Feature Fusion2020

    • Author(s)
      Moroto Yuya、Maeda Keisuke、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      Sensors

      Volume: 20 Issue: 7 Pages: 2146-2146

    • DOI

      10.3390/s20072146

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] [Papers] Multimodal Important Scene Detection in Far-view Soccer Videos Based on Single Deep Neural Architecture2020

    • Author(s)
      Haruyama Tomoki、Takahashi Sho、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      ITE Transactions on Media Technology and Applications

      Volume: 8 Issue: 2 Pages: 89-99

    • DOI

      10.3169/mta.8.89

    • NAID

      130007825880

    • ISSN
      2186-7364
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] [Papers] Interpretable Convolutional Neural Network Including Attribute Estimation for Image Classification2020

    • Author(s)
      Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Journal Title

      ITE Transactions on Media Technology and Applications

      Volume: 8 Issue: 2 Pages: 111-124

    • DOI

      10.3169/mta.8.111

    • NAID

      130007825882

    • ISSN
      2186-7364
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-training2020

    • Author(s)
      Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Journal Title

      Medical & Biological Engineering & Computing

      Volume: 58 Pages: 1239-1250

    • NAID

      120007042013

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Context-Aware Network Analysis of Music Streaming Services for Popularity Estimation of Artists2020

    • Author(s)
      Matsumoto Yui、Harakawa Ryosuke、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 8 Pages: 48673-48685

    • DOI

      10.1109/access.2020.2978281

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Text-to-Image GAN-Based Scene Retrieval and Re-Ranking Considering Word Importance2019

    • Author(s)
      Yanagi Rintaro、Togo Ren、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 7 Pages: 169920-169930

    • DOI

      10.1109/access.2019.2952676

    • NAID

      120006770948

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Estimating Regions of Deterioration in Electron Microscope Images of Rubber Materials via a Transfer Learning-Based Anomaly Detection Model2019

    • Author(s)
      Togo Ren、Saito Naoki、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 7 Pages: 162395-162404

    • DOI

      10.1109/access.2019.2950972

    • NAID

      120006767554

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Query is GAN: Scene Retrieval With Attentional Text-to-Image Generative Adversarial Network2019

    • Author(s)
      Yanagi Rintaro、Togo Ren、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 7 Pages: 153183-153193

    • DOI

      10.1109/access.2019.2947409

    • NAID

      120006767555

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Interest Level Estimation Based on Tensor Completion via Feature Integration for Partially Paired Users’ Behavior and Videos2019

    • Author(s)
      Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Journal Title

      IEEE Access

      Volume: 7 Pages: 148576-148585

    • DOI

      10.1109/access.2019.2946912

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Team Tactics Estimation in Soccer Videos Based on a Deep Extreme Learning Machine and Characteristics of the Tactics2019

    • Author(s)
      Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Journal Title

      IEEE Access

      Volume: 7 Pages: 153238-153248

    • DOI

      10.1109/access.2019.2946378

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Consensus Clustering of Tweet Networks via Semantic and Sentiment Similarity Estimation2019

    • Author(s)
      Harakawa Ryosuke、Takimura Shoji、Ogawa Takahiro、Haseyama Miki、Iwahashi Masahiro
    • Journal Title

      IEEE Access

      Volume: 7 Pages: 116207-116217

    • DOI

      10.1109/access.2019.2936404

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Music Video Recommendation Based on Link Prediction Considering Local and Global Structures of a Network2019

    • Author(s)
      Matsumoto Yui、Harakawa Ryosuke、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 7 Pages: 104155-104167

    • DOI

      10.1109/access.2019.2930713

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Synthetic gastritis image generation via loss function-based conditional PGGAN2019

    • Author(s)
      Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Journal Title

      IEEE Access

      Volume: 7 Pages: 87448-87457

    • NAID

      120006707770

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Convolutional sparse coding-based deep random vector functional link network for distress classification of road structures2019

    • Author(s)
      Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Journal Title

      Computer-Aided Civil and Infrastructure Engineering

      Volume: 34

    • NAID

      120006876280

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Novel Audio Feature Projection Using KDLPCCA-Based Correlation with EEG Features for Favorite Music Classification2019

    • Author(s)
      Sawata Ryosuke、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Transactions on Affective Computing

      Volume: 10 Issue: 3 Pages: 430-444

    • DOI

      10.1109/taffc.2017.2729540

    • NAID

      120006768811

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Detection of gastritis by a deep convolutional neural network from double-contrast upper gastrointestinal barium X-ray radiography2019

    • Author(s)
      Ren Togo, Nobutake Yamamichi, Katsuhiro Mabe, Yu Takahashi, Chihiro Takeuchi, Mototsugu Kato, Naoya Sakamoto, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama
    • Journal Title

      Journal of Gastroenterology

      Volume: 54 Pages: 321-329

    • NAID

      120006820165

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Cardiac sarcoidosis classification with deep convolutional neural network-based features using polar maps2019

    • Author(s)
      Togo Ren、Hirata Kenji、Manabe Osamu、Ohira Hiroshi、Tsujino Ichizo、Magota Keiichi、Ogawa Takahiro、Haseyama Miki、Shiga Tohru
    • Journal Title

      Computers in Biology and Medicine

      Volume: 104 Pages: 81-86

    • DOI

      10.1016/j.compbiomed.2018.11.008

    • NAID

      120006776823

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Human-centered image classification via a neural network considering visual and biological features2019

    • Author(s)
      Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Journal Title

      Multimedia Tools and Applications

      Volume: 印刷中 Issue: 7-8 Pages: 1-21

    • DOI

      10.1007/s11042-019-7222-3

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] [Papers] Multi-classifier Decision: Integration of Multiple Brain Activity-based Classifications2019

    • Author(s)
      Takahiro Ogawa, Kento Sugata, Ren Togo, Miki Haseyama
    • Journal Title

      ITE Transactions on Media Technology and Applications

      Volume: 7 Issue: 1 Pages: 36-44

    • DOI

      10.3169/mta.7.36

    • NAID

      130007542500

    • ISSN
      2186-7364
    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Binary Sparse Representation Based on Arbitrary Quality Metrics and Its Applications2018

    • Author(s)
      Takahiro Ogawa, Sho Takahashi, Naofumi Wada, Akira Tanaka, Miki Haseyama
    • Journal Title

      IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences

      Volume: E101.A Issue: 11 Pages: 1776-1785

    • DOI

      10.1587/transfun.E101.A.1776

    • NAID

      130007502787

    • ISSN
      0916-8508, 1745-1337
    • Year and Date
      2018-11-01
    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Favorite Video Estimation Based on Multiview Feature Integration via KMvLFDA2018

    • Author(s)
      Toyoda Akira、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 6 Pages: 63833-63842

    • DOI

      10.1109/access.2018.2876162

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Automatic detection of fish sounds based on multi-stage classification including logistic regression via adaptive feature weighting2018

    • Author(s)
      Harakawa Ryosuke、Ogawa Takahiro、Haseyama Miki、Akamatsu Tomonari
    • Journal Title

      The Journal of the Acoustical Society of America

      Volume: 144 Issue: 5 Pages: 2709-2718

    • DOI

      10.1121/1.5067373

    • NAID

      120006764181

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A RETRIEVAL METHOD OF SIMILAR INSPECTION RECORDS BASED ON EXPERIENCED INSPECTORS' EVALUATION2018

    • Author(s)
      斉藤僚汰, 髙橋翔, 小川貴弘, 長谷山美紀
    • Journal Title

      Journal of Japan Society of Civil Engineers, Ser. F3 (Civil Engineering Informatics)

      Volume: 74 Issue: 1 Pages: 67-77

    • DOI

      10.2208/jscejcei.74.67

    • NAID

      120006536952

    • ISSN
      2185-6591
    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Favorite Video Classification Based on Multimodal Bidirectional LSTM2018

    • Author(s)
      Ogawa Takahiro、Sasaka Yuma、Maeda Keisuke、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 6 Pages: 61401-61409

    • DOI

      10.1109/access.2018.2876710

    • NAID

      120006545964

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Estimation of Deterioration Levels of Transmission Towers via Deep Learning Maximizing Canonical Correlation between Heterogeneous Features2018

    • Author(s)
      Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Journal Title

      IEEE Journal of Selected Topics in Signal Processing

      Volume: 12 Issue: 4 Pages: 633-644

    • DOI

      10.1109/jstsp.2018.2849593

    • NAID

      120006502506

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Sentiment-aware personalized tweet recommendation through multimodal FFM2018

    • Author(s)
      R. Harakawa, D. Takehara, T. Ogawa, and M. Haseyama
    • Journal Title

      Multimedia Tools and Applications

      Volume: 印刷中 Issue: 14 Pages: 1-19

    • DOI

      10.1007/s11042-018-5876-x

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Selection of Significant Brain Regions Based on MvGTDA and TS-DLF for Emotion Estimation2018

    • Author(s)
      Sugata Kento、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 6 Pages: 32481-32492

    • DOI

      10.1109/access.2018.2847245

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Distress classification of class-imbalanced inspection data via correlation-maximizing weighted extreme learning machine2018

    • Author(s)
      Maeda Keisuke、Takahashi Sho、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      Advanced Engineering Informatics

      Volume: 37 Pages: 79-87

    • DOI

      10.1016/j.aei.2018.04.014

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] A Novel Framework for Estimating Viewer Interest by Unsupervised Multimodal Anomaly Detection2018

    • Author(s)
      Sasaka Yuma、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 6 Pages: 8340-8350

    • DOI

      10.1109/access.2018.2804925

    • NAID

      120006410557

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Preliminary study of automatic gastric cancer risk classification from photofluorography2018

    • Author(s)
      Togo Ren、Ishihara Kenta、Mabe Katsuhiro、Oizumi Harufumi、Ogawa Takahiro、Kato Mototsugu、Sakamoto Naoya、Nakajima Shigemi、Asaka Masahiro、Haseyama Miki
    • Journal Title

      World Journal of Gastrointestinal Oncology

      Volume: 10 Issue: 2 Pages: 62-70

    • DOI

      10.4251/wjgo.v10.i2.62

    • NAID

      120006533158

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Accurate Estimation of Personalized Video Preference Using Multiple Users' Viewing Behavior2018

    • Author(s)
      ITO Yoshiki、OGAWA Takahiro、HASEYAMA Miki
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E101.D Issue: 2 Pages: 481-490

    • DOI

      10.1587/transinf.2017EDP7178

    • NAID

      130006328421

    • ISSN
      0916-8532, 1745-1361
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] A Language-Independent Ontology Construction Method Using Tagged Images in Folksonomy2018

    • Author(s)
      Hamano Shota、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      IEEE Access

      Volume: 6 Pages: 2930-2942

    • DOI

      10.1109/access.2017.2786218

    • NAID

      120006410556

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Tracking topic evolution via salient keyword matching with consideration of semantic broadness for Web video discovery2017

    • Author(s)
      R. Harakawa, T. Ogawa, and M. Haseyama
    • Journal Title

      Multimedia Tools and Applications

      Volume: 印刷中 Issue: 16 Pages: 1-28

    • DOI

      10.1007/s11042-017-5404-4

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Wiener-Based Inpainting Quality Prediction2017

    • Author(s)
      Takahiro Ogawa, Akira Tanaka, Miki Haseyama
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E100.D Issue: 10 Pages: 2614-2626

    • DOI

      10.1587/transinf.2017EDP7058

    • NAID

      130006110287

    • ISSN
      0916-8532, 1745-1361
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Visualizing Web Images Using Fisher Discriminant Locality Preserving Canonical Correlation Analysis2017

    • Author(s)
      TATENO Kohei、OGAWA Takahiro、HASEYAMA Miki
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E100.D Issue: 9 Pages: 2005-2016

    • DOI

      10.1587/transinf.2016PCP0005

    • NAID

      130006038512

    • ISSN
      0916-8532, 1745-1361
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Extracting hierarchical structure of Web video groups based on sentiment-aware signed network analysis2017

    • Author(s)
      R. Harakawa, T. Ogawa, and M. Haseyama
    • Journal Title

      IEEE Access

      Volume: 5 Pages: 16963-16973

    • DOI

      10.1109/access.2017.2741098

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Biomimetics Image Retrieval Platform2017

    • Author(s)
      Miki Haseyama, Takahiro Ogawa, Sho Takahashi, Shuhei Nomura, Masatsugu Shimomura
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E100.D Issue: 8 Pages: 1563-1573

    • DOI

      10.1587/transinf.2016LOI0001

    • NAID

      130005876094

    • ISSN
      0916-8532, 1745-1361
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Extracting hierarchical structure of content groups from different social media platforms using multiple social metadata2017

    • Author(s)
      D. Takehara, R. Harakawa, T. Ogawa, and M. Haseyama
    • Journal Title

      Multimedia Tools and Applications

      Volume: 印刷中 Issue: 19 Pages: 1-24

    • DOI

      10.1007/s11042-017-4717-7

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Helicobacter Pylori infection detection from gastric X-ray images based on feature fusion and decision fusion2017

    • Author(s)
      Ishihara Kenta、Ogawa Takahiro、Haseyama Miki
    • Journal Title

      Computers in Biology and Medicine

      Volume: 84 Pages: 69-78

    • DOI

      10.1016/j.compbiomed.2017.03.007

    • NAID

      120006459304

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Distress Classification of Road Structures via Adaptive Bayesian Network Model Selection2017

    • Author(s)
      Maeda K.、Takahashi S.、Ogawa T.、Haseyama M.
    • Journal Title

      Journal of Computing in Civil Engineering

      Volume: 31 Issue: 5 Pages: 4017044-4017044

    • DOI

      10.1061/(asce)cp.1943-5487.0000686

    • Related Report
      2017 Annual Research Report
    • Peer Reviewed
  • [Journal Article] [Paper] A Method of Important Player Extraction Based on Link Analysis in Soccer Videos2017

    • Author(s)
      Sho Takahashi, Miki Haseyama
    • Journal Title

      ITE Transactions on Media Technology and Applications

      Volume: 5 Issue: 2 Pages: 42-48

    • DOI

      10.3169/mta.5.42

    • NAID

      130005530489

    • ISSN
      2186-7364
    • Related Report
      2017 Annual Research Report
    • Peer Reviewed / Open Access / Acknowledgement Compliant
  • [Presentation] Generating captions of imagined content from human brain activities applying an image captioning model2022

    • Author(s)
      Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech 2022)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Knowledge-guided sequential recommendation with reinforcement learning using empirical distribution function2022

    • Author(s)
      Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2022 IEEE 4th Global Conference on Life Sciences and Technologies (LifeTech 2022)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Explainable artist recommendation based on reinforcement knowledge graph exploration2022

    • Author(s)
      Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2022 International Workshop on Advanced Image Technology (IWAIT)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Self-supervised transfer learning for COVID-19 detection from chest X-ray images2022

    • Author(s)
      Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      36th AAAI Conference on Artificial Intelligence (AAAI-22) Workshops
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 高速道路の遮音壁画像を用いた物体検出手法による変状分類の高精度化に関する検討2022

    • Author(s)
      梁 イン, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] 地下鉄トンネルの維持管理支援のためのマルチスケール解析を導入した深層学習に基づく変状検出に関する検討2022

    • Author(s)
      高田 紗弥, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] 地下鉄トンネル点検時の技術者から取得される生体信号と技術者の点検行動の関連性分析2022

    • Author(s)
      平澤 魁人, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] 画像注視時の脳活動信号を用いた圧縮再構成ネットワークに基づく視覚認知内容の推定に関する検討2022

    • Author(s)
      東 孝明, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] Attention map に対する確信度を考慮可能な深層学習を用いた変状分類の高精度化に関する検討2022

    • Author(s)
      小川 直輝, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] A note on automatic diagnosis of Helicobacter pylori infection based on self-supervised learning and self-knowledge distillation2022

    • Author(s)
      Guang Li, Ren Togo, Katsuhiro Mabe, Shunpei Nishida, Yoshihiro Tomoda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] A note on transformer-based scene recognition in soccer videos using different lengths of clips2022

    • Author(s)
      Yaozong Gan, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] ユーザの嗜好を考慮した強化学習と知識グラフに基づく楽曲プレイリスト生成に関する検討2022

    • Author(s)
      櫻井 慶悟, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] 画像中の物体情報を考慮したユーザ類似度に基づく個人に特化した注視領域の推定に関する検討2022

    • Author(s)
      諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] Variational autoencoderに基づく深層生成モデルを用いた潜在表現のdisentanglementに関する検討 -disentanglement評価指標を含む正則化損失の導入-2022

    • Author(s)
      中川 真, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] ユーザの動作情報を用いたコンテンツの関心度推定に関する検討 -複数ユーザを導入した特徴統合の有効性検証-2022

    • Author(s)
      上川 恭平, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] 道路構造物の維持管理効率化に向けた変状画像分類の高精度化に関する検討 -テキストデータに基づく類似事例の含有率の導入-2022

    • Author(s)
      平川 泰成, 小川 直輝, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] 知識蒸留を用いたfew-shot learningに基づく画像の感情ラベル推定に関する検討2022

    • Author(s)
      叶 穎睿, 諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] ゴム材料開発のための generative adversarial network に基づく配合量および物性からの電子顕微鏡画像の生成に関する一検討2022

    • Author(s)
      柳 凜太郎, 藤後 廉, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] セマンティックセグメンテーションに対するマルチソースモデル適応に関する検討 ー 複数のソースモデルからの不変な特徴表現の学習による適応精度の向上 ー2022

    • Author(s)
      李 宗曜, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] A note on realizing adversarial defense based on regularization of multi-stage squeeze-and-excitation features2022

    • Author(s)
      Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] Captioning 特徴を利用したグラフ畳み込みネットワークに基づくアニメイラストのマルチラベル画像分類に関する検討2022

    • Author(s)
      蘭 子文, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] 橋梁点検時の技術者の一人称および三人称視点映像を用いた点検動作の分類に関する検討2022

    • Author(s)
      増田 毅, 前田 圭介, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
  • [Presentation] 最先端の医療AI開発に向けた持続的人材育成2022

    • Author(s)
      長谷山 美紀
    • Organizer
      Clinical AI Human Resources Development Program 2nd アニュアルシンポジウム
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] Multi-class similar scene retrieval in soccer videos: a scene confusion reduction method based on combination of long and short frame sequences2021

    • Author(s)
      Yaozong Gan, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Visual sentiment prediction using few-shot learning via distribution relations of visual features2021

    • Author(s)
      Yingrui Ye, Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Detection of off-screen sound based on loss function of self-supervised audio-visual spatialization2021

    • Author(s)
      Masaki Yoshida, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Movie rating estimation based on weakly supervised multi-modal latent variable model2021

    • Author(s)
      Koshi Watanabe, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Listener recommendation for artist based on knowledge graph and reinforcement learning2021

    • Author(s)
      Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Multi-Label image recognition based on multi-modal graph convolutional networks using captioning features2021

    • Author(s)
      Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimating imagined images from brain activities via visual question answering2021

    • Author(s)
      Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Analysis of social trends related to COVID-19 pandemic utilizing social media data2021

    • Author(s)
      Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Graph analysis-based recommendation via entity embeddings using wikipedia2021

    • Author(s)
      Nozomu Onodera, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Sports action detection based on self-supervised feature learning and object detection2021

    • Author(s)
      Tsuyoshi Masuda, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Text-guided image manipulation for desired region using referring image segmentation2021

    • Author(s)
      Yuto Watanabe, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Triplet self-supervised learning for gastritis detection with scarce annotations2021

    • Author(s)
      Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Defense against image captioning attacks via a robust and stable recurrent neural network2021

    • Author(s)
      Jiahuan Zhang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Action classification from egocentric videos using reinforcement learning-based pose estimation2021

    • Author(s)
      Shunya Ohaga, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A trial of fine-grained classification of expert-novice level using bio-signals while inspecting subway tunnels2021

    • Author(s)
      Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 10th Global Conference on Consumer Electronics (GCCE 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Human-centered favorite music classification using EEG-based individual music preference deep time-series CCA2021

    • Author(s)
      Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of visual features of viewed image from individual and shared brain information based on fMRI data using probabilistic generative model2021

    • Author(s)
      Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Classification of expert-novice level using eye tracking and motion data via conditional multimodal variational autoencoder2021

    • Author(s)
      Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Semantic-aware Unpaired Image-to-image Translation for Urban Scene Images2021

    • Author(s)
      Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Multi-modal label dequantized gaussian process latent variable model for ordinal label estimation2021

    • Author(s)
      Masanao Matsumoto, Keisuke Maeda, Naoki Saito, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Feature integration via semi-supervised ordinally multi-modal Gaussian process latent variable model2021

    • Author(s)
      Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Cross-domain semi-supervised deep metric learning for image sentiment analysis2021

    • Author(s)
      Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Degradation level estimation of road structures via attention branch network with text data2021

    • Author(s)
      Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] User background information-aware music recommendation with reinforcement learning-based knowledge graph exploration2021

    • Author(s)
      Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Cross-view self-supervised learning via momentum statistics in batch normalization2021

    • Author(s)
      Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Correlation-aware attention branch network using multi-modal data for deterioration level estimation of infrastructures2021

    • Author(s)
      Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Image Processing (ICIP 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Deep metric network via heterogeneous semantics for image sentiment analysis2021

    • Author(s)
      Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Image Processing (ICIP 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Interest level estimation via multi-modal Gaussian process latent variable factorization2021

    • Author(s)
      Kyohei Kamikawa, Maeda Keisuke, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Image Processing (ICIP 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Few-shot personalized saliency prediction using person similarity based on collaborative multi-output Gaussian process regression2021

    • Author(s)
      Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Image Processing (ICIP 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Segmentation-aware text-guided image manipulation2021

    • Author(s)
      Tomoki Haruyama, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Image Processing (ICIP 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Interpretable representation learning on natural image datasets via reconstruction in visual-semantic embedding space2021

    • Author(s)
      Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Image Processing (ICIP 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Time-lag aware multi-modal variational autoencoder using baseball videos and tweets for prediction of important scenes2021

    • Author(s)
      Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE International Conference on Image Processing (ICIP 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Database-adaptive re-ranking for enhancing cross-modal image retrieval2021

    • Author(s)
      Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      ACM International Conference on Multimedia (ACM MM 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] IR Questioner: QA-based interactive retrieval system2021

    • Author(s)
      Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      ACM International Conference on Multimedia Retrieval (ICMR 2021)
    • Related Report
      2021 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Shilling attackの状況下における グラフ解析に基づく推薦システムの脆弱性の検証2021

    • Author(s)
      小野寺 望, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和3年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2021 Annual Research Report
  • [Presentation] Few-shot learningを用いた感情ラベル推定における複数のデータセット利用に関する初期検討2021

    • Author(s)
      叶 穎睿, 諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和3年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2021 Annual Research Report
  • [Presentation] グラフ畳み込みネットワークに基づくアニメイラストのマルチラベル画像認識に関する検討2021

    • Author(s)
      蘭 子文, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和3年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2021 Annual Research Report
  • [Presentation] メタデータを考慮した楽曲グラフ探索に基づく強化学習を用いた楽曲プレイリスト生成に関する検討2021

    • Author(s)
      櫻井 慶悟, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和3年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2021 Annual Research Report
  • [Presentation] テキスト入力型画像操作における操作領域に着目した精度評価に関する検討2021

    • Author(s)
      渡邉 優宇人, 藤後 廉, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和3年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2021 Annual Research Report
  • [Presentation] Audio-visual立体化モデルを用いた画面外音声検出に関する検討ー自己教師あり学習手法に基づくaudio-visual特徴表現の導入ー2021

    • Author(s)
      吉田 将規, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和3年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2021 Annual Research Report
  • [Presentation] 画像特徴の表現能力が世界モデルのパフォーマンスに与える影響の検証2021

    • Author(s)
      大羽賀 駿也, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和3年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2021 Annual Research Report
  • [Presentation] 自己教師あり学習を導入した潜在変数モデルによる低次元特徴の抽出に関する検討2021

    • Author(s)
      渡部 航史, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和3年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2021 Annual Research Report
  • [Presentation] 社会実装を加速する産学連携の最先端データ駆動型研究2021

    • Author(s)
      長谷山 美紀
    • Organizer
      第43回R&Dエグゼクティブ交流会
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] マルチメディアAI技術に基づく異分野融合研究と実社会応用2021

    • Author(s)
      小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会技術報告
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] AIの動向と次世代インフラ維持管理に向けた最先端研究2021

    • Author(s)
      長谷山美紀
    • Organizer
      第20 回 首都高速道路技術センター技術講演会 デジタル新時代の幕開け ~インフラ整備・維持管理の未来像~
    • Related Report
      2021 Annual Research Report
    • Invited
  • [Presentation] Human emotion estimation using multi-modal variational autoencoder with time changes2021

    • Author(s)
      Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Music playlist generation based on graph exploration using reinforcement learning2021

    • Author(s)
      Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Question answering from brain activity data via decoder based on neural networks2021

    • Author(s)
      Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech 2021)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 路面画像を用いた深層学習に基づく路面状態の分類に関する検討2021

    • Author(s)
      諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2020 Annual Research Report
  • [Presentation] サッカー映像における情報の提示位置の推定に関する検討 -視聴者の注視位置および選手位置に基づいたオブジェクト配置の決定-2021

    • Author(s)
      鈴木 元樹, 高橋 翔, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2020 Annual Research Report
  • [Presentation] Image Captioningの導入による画像の感情推定の高精度化に関する検討2021

    • Author(s)
      Yun Liang, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2020 Annual Research Report
  • [Presentation] 画像特徴を用いた多層グラフ解析に基づくクロスドメイン推薦に関する検討2021

    • Author(s)
      平川 泰成, 前田 圭介, 小川 貴弘, 浅水 仁, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2020 Annual Research Report
  • [Presentation] Twitterと映像を用いたMVAEに基づく野球映像の重要シーン予測に関する検討2021

    • Author(s)
      平澤 魁人, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2020 Annual Research Report
  • [Presentation] 画像注視時の脳活動データを用いた質問応答生成モデルに基づく 意味内容の推定に関する検討ーfine-tuning に基づく高精度化ー2021

    • Author(s)
      高田 紗弥, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2020 Annual Research Report
  • [Presentation] TCCに基づく自己教師学習による特徴表現を用いた映像中の人物動作の検出に関する検討 -動作検出パラメータが与える影響に対する考察-2021

    • Author(s)
      増田 毅, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2020 Annual Research Report
  • [Presentation] Cross-domain recommendation based on multilayer graph analysis using subgraph representation2021

    • Author(s)
      Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
    • Organizer
      International Workshop on Advanced Image Technology (IWAIT)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A note on detection of sports action based on temporal cycle consistency learning2021

    • Author(s)
      Tsuyoshi Masuda, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      International Workshop on Advanced Image Technology (IWAIT)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Multimedia information retrieval for mixed interaction based on cross-modal retrieval and hand gesture browsing2020

    • Author(s)
      Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 学習済みセマンティックセグメンテーションモデルを用いたdisentanglementに関する検討2020

    • Author(s)
      中川 真, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和2年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] nAULSに基づくデータセットの複雑性評価に関する検討2020

    • Author(s)
      李 広, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和2年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] 自己組織化マップを用いた強化学習に基づく楽曲プレイリスト生成に関する検討2020

    • Author(s)
      櫻井 慶悟, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和2年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] Temporal Cycle Consistency Learningに基づく人物動作の検出に関する検討2020

    • Author(s)
      増田 毅, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和2年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] Multi-level Deep Metric Netに基づく画像の感情推定に関する検討2020

    • Author(s)
      Yun Liang, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和2年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] m-SimGPを用いた特徴統合に基づくユーザの関心度推定に関する検討2020

    • Author(s)
      上川 恭平, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和2年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] 多層グラフ解析に基づくクロスドメイン推薦に関する検討 - 埋め込み特徴量の次元数の変化による精度検証 -2020

    • Author(s)
      平川 泰成, 前田 圭介, 小川 貴弘, 浅水 仁, 長谷山 美紀
    • Organizer
      令和2年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2020 Annual Research Report
  • [Presentation] Image retrieval with lingual and visual paraphrasing via generative models2020

    • Author(s)
      Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Image Processing (ICIP 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Important scene detection of baseball videos via time-lag aware deep multiset canonical correlation maximization2020

    • Author(s)
      Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Image Processing (ICIP 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of visual contents based on question answering from human brain activity2020

    • Author(s)
      Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Image Processing (ICIP 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Feature integration via geometrical supervised multi-view multi-label canonical correlation for incomplete label assignment2020

    • Author(s)
      Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Image Processing (ICIP 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Generation of viewed image captions from human brain activity via unsupervised text latent space2020

    • Author(s)
      Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Image Processing (ICIP 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Variational autoencoder based unsupervised domain adaptation for semantic segmentation2020

    • Author(s)
      Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Image Processing (ICIP 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of images matched with audio-induced brain activity via modified DGCCA2020

    • Author(s)
      Yun Liang, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Music playlist generation based on reinforcement learning using acoustic feature map2020

    • Author(s)
      Keigo Sakurai, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Interest level estimation based on feature integration considering distribution of partially paired user’s behavior, videos and posters2020

    • Author(s)
      Kyohei Kamikawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of user-specific visual attention considering individual tendency toward gazed objects2020

    • Author(s)
      Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Complexity evaluation of medical image data for classification problem based on spectral clustering2020

    • Author(s)
      Guang Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Important scene prediction of baseball videos using twitter and video analysis based on LSTM2020

    • Author(s)
      Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Question answering for estimation of seen image contents from multi-subject fMRI responses2020

    • Author(s)
      Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Cross-domain recommendation via multi-layer graph analysis using user-item embedding2020

    • Author(s)
      Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
    • Organizer
      2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of viewed images using individual and shared brain responses2020

    • Author(s)
      Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Face synthesis via user manipulation of disentangled latent representation2020

    • Author(s)
      Nao Nakagawa, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE 9th Global Conference on Consumer Electronics (GCCE 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] データサイエンス教育のフロンティア2020

    • Author(s)
      長谷山 美紀
    • Organizer
      NoMaps Conference 2020
    • Related Report
      2020 Annual Research Report
    • Invited
  • [Presentation] An estimation method of candidate region for superimposing information based on gaze tracking data in soccer videos2020

    • Author(s)
      Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Important scene detection based on anomaly detection using long short-term memory for baseball highlight generation2020

    • Author(s)
      Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of person-specific visual attention via selection of similar persons2020

    • Author(s)
      Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Image retrieval with data augmentation of sentence labels based on paraphrasing2020

    • Author(s)
      Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 複数変量の半教師あり生成モデルに基づくブレイン・デコーディングにおけるゼロショット学習2020

    • Author(s)
      赤松 祐亮, 原川 良介, 小川 貴弘, 長谷山 美紀
    • Organizer
      第23回 画像の認識・理解シンポジウム (MIRU2020)
    • Related Report
      2020 Annual Research Report
  • [Presentation] Bidirectional LSTMを用いた特徴変換に基づくサッカー映像における類似場面の検索に関する検討2020

    • Author(s)
      春山 知生, 高橋 翔, 小川 貴弘, 長谷山 美紀
    • Organizer
      第23回 画像の認識・理解シンポジウム (MIRU2020)
    • Related Report
      2020 Annual Research Report
  • [Presentation] Supervised multiview canonical correlation analysis via ordinal label dequantization for image interest estimation2020

    • Author(s)
      Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
    • Organizer
      第23回 画像の認識・理解シンポジウム (MIRU2020)
    • Related Report
      2020 Annual Research Report
  • [Presentation] MvGAN maximizing time-lag aware canonical correlation for baseball highlight generation2020

    • Author(s)
      Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE ICME Workshop of Artificial Intelligence in Sports (AI-Sports 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Multi-view bayesian generative model for multi-subject fMRI data on brain decoding of viewed image categories2020

    • Author(s)
      Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Unsupervised domain adaptation for semantic segmentation with symmetric adaptation consistency2020

    • Author(s)
      Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020)
    • Related Report
      2020 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Quantitative analysis of engineer’s skill using wearable sensor data while inspecting highway bridge2020

    • Author(s)
      Genki Suzuki, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech 2020)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Interest estimation for images using eye gaze-based visual and text features via DLPCCA2020

    • Author(s)
      Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech 2020)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Distress level classification of road infrastructures via CNN generating attention map2020

    • Author(s)
      Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech 2020)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimating viewed images with natural language question answering from fMRI data2020

    • Author(s)
      Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2020 IEEE 2nd Global Conference on Life Sciences and Technologies (LifeTech 2020)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 弱異常検知アルゴリズムに基づくCCTV映像を用いた河川利用者の異常行動の検出に関する検討2020

    • Author(s)
      渡邊 はるな, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 画像内の物体に着目した画像検索に関する検討 -RetinaNet を用いた物体認識に基づく高精度化2020

    • Author(s)
      柳 凜太郎, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] Bidirectional LSTMを用いたサッカー映像におけるイベント分類に関する検討2020

    • Author(s)
      春山 知生, 高橋 翔, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] ゴム材料の配合量を用いたAC-GANに基づく電子顕微鏡画像の生成に関する一検討2020

    • Author(s)
      金井 美岬, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 地下鉄トンネル点検時の生体信号に基づいた熟練および若手技術者の分類に関する検討2020

    • Author(s)
      九島 哲哉, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 穿孔データを用いたオンライン学習に基づく岩盤の圧縮強度指数推定に関する検討2020

    • Author(s)
      山本 健太郎, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 道路構造物の変状評価における技術者の視線データと熟練度の分析に関する一考察2020

    • Author(s)
      松井 太我, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] サッカー映像視聴時の視線データを用いた情報の提示領域の算出に関する検討2020

    • Author(s)
      鈴木 元樹, 高橋 翔, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] A note on retrieval of visually similar distress regions in subway tunnel images -- Introduction of deep features extracted by semantic segmentation network --2020

    • Author(s)
      Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 道路構造物の維持管理効率化に向けた変状画像分類における信頼性の向上に関する検討2020

    • Author(s)
      堀井 風葉, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] エッジの補完を導入したツイートクラスタリングの高精度化に関する検討2020

    • Author(s)
      滝村 祥司, 原川 良介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 地下鉄トンネル維持管理支援を目的とした類似画像の検索に関する検討-技術者の評価を反映可能な距離計量学習の導入-2020

    • Author(s)
      松本 有衣, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] A note on detection of distress regions in subway tunnels by using U-net based network2020

    • Author(s)
      An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] MVBGM-MSに基づく画像注視時の脳活動データを用いた画像カテゴリの推定に関する検討2020

    • Author(s)
      赤松 祐亮, 原川 良介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 画像注視時の視線データを用いた関心度の推定に関する検討 ~ ラベルの逆量子化を導入したsMVCCAによる推定精度の高精度化 ~2020

    • Author(s)
      松本 真直, 斉藤 直輝, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 画像注視時のヒトの感情推定のための視線特徴の推定に関する検討2020

    • Author(s)
      諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2019 Annual Research Report
  • [Presentation] Retrieval of similar scenes based on multimodal distance metric learning in soccer videos2019

    • Author(s)
      Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2nd International ACM Workshop on Multimedia Content Analysis in Sports (ACM MMSports’19)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of drilling energy from tunnel cutting face image based on online learning2019

    • Author(s)
      Kentaro Yamamoto, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Detection of distress region from subway tunnel images via u-net-based deep semantic segmentation2019

    • Author(s)
      An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Voice-input multimedia information retrieval system based on text-to-image GAN2019

    • Author(s)
      Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Region-based distress classification of road infrastructures via CNN without region annotation2019

    • Author(s)
      Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A method for predicting importance of attack players based on multiple gaze tracking data in soccer videos2019

    • Author(s)
      Genki Suzuki, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Multimodal retrieval of similar soccer videos based on optimal combination of multiple distance measures2019

    • Author(s)
      Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Interest estimation for images based on eye gaze-based visual and text features2019

    • Author(s)
      Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of user-specific visual attention based on gaze information of similar users2019

    • Author(s)
      Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Aesthetic style transfer through text-to-image synthesis and image-to-image translation2019

    • Author(s)
      Megumi Kotera, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Effectiveness evaluation of deep features for image reconstruction from fMRI signals2019

    • Author(s)
      Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Semantic shot classification in baseball videos based on similarities of visual features2019

    • Author(s)
      Kaito Hirasawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] The extraction of individual music preference based on deep time-series CCA2019

    • Author(s)
      Ryosuke Sawata, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimating viewed image categories from fMRI activity via multi-view bayesian generative model2019

    • Author(s)
      Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Scene retrieval using text-to-image GAN-based visual similarities and image-to-text model-based textual similarities2019

    • Author(s)
      Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Performance prediction method of examinees based on matrix completion2019

    • Author(s)
      Yutaka Yamada, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 8th Global Conference on Consumer Electronics (GCCE 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of emotion labels via tensor-based spatiotemporal visual attention analysis2019

    • Author(s)
      Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE International Conference on Image Processing (ICIP 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Scene retrieval for video summarization based on text-to-image GAN2019

    • Author(s)
      Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE International Conference on Image Processing (ICIP 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Neural network maximizing ordinally supervised multi-view canonical correlation for deterioration level estimation2019

    • Author(s)
      Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE International Conference on Image Processing (ICIP 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Gastritis detection from gastric x-ray images via fine-tuning of patch-based deep convolutional neural network2019

    • Author(s)
      Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE International Conference on Image Processing (ICIP 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Synthetic image generation for gastritis detection based on auxiliary classifier generative adversarial network2019

    • Author(s)
      Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Symposium on Circuits and Systems (ISCAS 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Semi-supervised Learning Based on Tri-training for Gastritis Classification Using Gastric X-ray Images2019

    • Author(s)
      Zongyao Li, Ren Togo, Takahiro Ogawa and Miki Haseyama
    • Organizer
      IEEE International Symposium on Circuits and Systems (ISCAS 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Scene Retrieval from Multiple Resolution Generated Images Based on Text-to-image GAN2019

    • Author(s)
      Rintaro Yanagi, Ren Togo, Takahiro Ogawa and Miki Haseyama
    • Organizer
      IEEE International Symposium on Circuits and Systems (ISCAS 2019)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Bilingual Lexicon Learning Using Tagged Images via Graph Trilateral Filter-based Feature Refinement2019

    • Author(s)
      Yui Matsumoto, Shota Hamano, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Convolutional Sparse Coding-based Anomalous Event Detection in Surveillance Videos2019

    • Author(s)
      Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] User-Specific Visual Attention Estimation Based on Visual Similarity and Spatial Information in Images2019

    • Author(s)
      Yuya Moroto, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-TW)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Multi-feature Fusion Based on Supervised Multi-view Multi-label Canonical Correlation Projection2019

    • Author(s)
      Keisuke Maeda, Sho Takahashi, Takahiro Ogawa and Miki Haseyama
    • Organizer
      2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimating Viewed Image Categories from Human Brain Activity via Semi-supervised Fuzzy Discriminative Canonical Correlation Analysis2019

    • Author(s)
      Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa and Miki Haseyama
    • Organizer
      2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    • Related Report
      2019 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Multi-feature fusion based on semi-supervised multi-view multi-label canonical correlation projection2019

    • Author(s)
      Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      第22回 画像の認識・理解シンポジウム (MIRU2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 敵対的学習に基づく胃がんリスクの進行予測画像の生成へ向けた検討2019

    • Author(s)
      藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      第22回 画像の認識・理解シンポジウム (MIRU2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] MVBGMに基づく画像注視時の脳活動データを用いた画像カテゴリの推定に関する検討2019

    • Author(s)
      赤松 祐亮, 原川 良介, 小川 貴弘, 長谷山 美紀
    • Organizer
      第22回 画像の認識・理解シンポジウム (MIRU2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] サッカー映像を用いた距離計量学習に基づく類似場面の検索に関する検討2019

    • Author(s)
      春山 知生, 高橋 翔, 小川 貴弘, 長谷山 美紀
    • Organizer
      第22回 画像の認識・理解シンポジウム (MIRU2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 視線情報を考慮した画像のテンソル表現に基づく感情ラベル推定に関する検討-複数ユーザの推定結果の統合に基づく高精度化-2019

    • Author(s)
      諸戸 祐哉,前田 圭介,小川 貴弘,長谷山 美紀
    • Organizer
      第22回 画像の認識・理解シンポジウム (MIRU2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 敵対的生成ネットワークに基づくドメイン適応可能な文をクエリとする画像・映像検索手法に関する検討2019

    • Author(s)
      柳 凜太郎, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      第22回 画像の認識・理解シンポジウム (MIRU2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 画像注視時の視線データを用いた関心の識別に関する検討 - MvLFDAに基づく特徴量統合による高精度化 -2019

    • Author(s)
      松本 真直, 斉藤 直輝, 小川 貴弘, 長谷山 美紀
    • Organizer
      第22回 画像の認識・理解シンポジウム (MIRU2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 画像共有サービスに投稿される観光画像の カテゴリ分類に関する検討-分類結果の信頼性判定による高精度化-2019

    • Author(s)
      斉藤直輝,小川貴弘,浅水仁,長谷山美紀
    • Organizer
      第22回 画像の認識・理解シンポジウム (MIRU2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] サッカー映像視聴時の複数の視線データを用いた攻撃選手の重要度算出に関する検討2019

    • Author(s)
      鈴木 元樹, 高橋 翔, 小川 貴弘, 長谷山 美紀
    • Organizer
      第22回 画像の認識・理解シンポジウム (MIRU2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 多層グラフを用いたS2-jNMFに基づくツイートクラスタリングに関する検討2019

    • Author(s)
      滝村 祥司, 原川 良介, 小川 貴弘, 長谷山 美紀
    • Organizer
      第22回 画像の認識・理解シンポジウム (MIRU2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] サッカー映像視聴時の視線データを用いた周辺視に基づく攻撃選手の重要度算出に関する検討2019

    • Author(s)
      鈴木 元樹, 高橋 翔, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和元年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 複数変量の生成モデルに基づく画像注視時の脳活動データを用いた画像カテゴリの推定に関する検討2019

    • Author(s)
      赤松 祐亮, 原川 良介, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和元年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 複数の特徴量から得られる類似度の統合に基づくサッカー映像における類似場面検索の高精度化に関する検討2019

    • Author(s)
      春山 知生, 高橋 翔, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和元年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] Text-to-imageGAN に基づくスタイル変換に関する検討 -Image-to-text モデル導入による高精度化 -2019

    • Author(s)
      古寺 恵, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和元年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 脳活動データを用いた注視画像の再構成における用いる視覚野の領域に関する検討2019

    • Author(s)
      高田 紗弥, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和元年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] Twitterを用いた異常検知に基づく野球映像の重要シーン検出に関する検討2019

    • Author(s)
      平澤 魁人, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和元年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] Semantic Segmentation に基づく地下鉄トンネルにおける変状検出に関する検討2019

    • Author(s)
      王 安, 藤後 廉, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和元年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 画像注視時の視線データを用いた関心の識別に関する検討 - LDCCAの基づく特徴量の射影による高精度化 -2019

    • Author(s)
      松本 真直, 斉藤 直輝, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和元年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] Sparse Bayesian Learning に基づく注視領域の時間変化を考慮したヒトの感情推定に関する検討2019

    • Author(s)
      諸戸 祐哉, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和元年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 変状分類における Grad-CAM++ に基づいた CNN の注目領域の可視化に関する検討2019

    • Author(s)
      小川 直輝, 前田 圭介, 小川 貴弘, 長谷山 美紀
    • Organizer
      令和元年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2019 Annual Research Report
  • [Presentation] 生体情報解析を導入した次世代 AI 技術の構築2019

    • Author(s)
      長谷山 美紀, 小川 貴弘
    • Organizer
      電子情報通信学会通信ソサイエティ大会
    • Related Report
      2019 Annual Research Report
    • Invited
  • [Presentation] 画像注視時の視線データを用いた関心の識別に関する検討 - 推定結果の統合による高精度化 -2019

    • Author(s)
      松本 真直,斉藤 直輝, 小川 貴弘,長谷山 美紀
    • Organizer
      イメージ・メディア・クオリティ研究会(IMQ)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 画像の視覚的および空間的特徴に基づくユーザに特化した注視領域推定の高精度化に関する検討 ~ 視覚的特徴の類似度と推定精度の関係性に関する一考察~2019

    • Author(s)
      諸戸 祐哉,前田 圭介,小川 貴弘,長谷山 美紀
    • Organizer
      イメージ・メディア・クオリティ研究会(IMQ)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 敵対的生成ネットワークにより文から生成される画像の意味的評価に関する検討2019

    • Author(s)
      柳 凜太郎,藤後 廉,小川 貴弘,長谷山 美紀
    • Organizer
      イメージ・メディア・クオリティ研究会(IMQ)
    • Related Report
      2019 Annual Research Report
  • [Presentation] 胃X線画像を用いたAIによるH. pylori感染識別と今後の展望2019

    • Author(s)
      藤後 廉, 小川 貴弘, 間部 克裕, 加藤 元嗣, 長谷山 美紀
    • Organizer
      第49回日本消化器がん検診学会北海道地方会 (2019)
    • Related Report
      2019 Annual Research Report
  • [Presentation] Extraction of Regions Related to Cardiac Sarcoidosis in Polar Map Images2019

    • Author(s)
      Ren Togo, Takahiro Ogawa, Osamu Manabe, Kenji Hirata, Tohru Shiga and Miki Haseyama
    • Organizer
      2019 IEEE 1st Global Conrefence on Life Sciences and Technologies (LifeTech 2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of users' interest levels using tensor completion with SemiCCA2019

    • Author(s)
      Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Bone Metastatic Tumor Detection Based on AnoGAN Using CT Images2019

    • Author(s)
      Haruna Watanabe, Ren Togo, Takahiro Ogawa and Miki Haseyama
    • Organizer
      IEEE Global Conference on Life Sciences and Technologies (LifeTech 2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Semi-supervised Discriminative CCA for Estimating Viewed Image Categories from fMRI Data2019

    • Author(s)
      Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa and Miki Haseyama
    • Organizer
      2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech 2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Chronic Gastritis Detection from Gastric X-ray Images via Deep Autoencoding Gaussian Mixture Models2019

    • Author(s)
      Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of Visual Attention via Canonical Correlation between Visual and Gaze-based Features2019

    • Author(s)
      Yuya Moroto, Keisuke Maeda, Takahiro Ogawa and Miki Haseyama
    • Organizer
      2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech 2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Video Classification Based on User Preferences with Soft-bag Multiple Instance Learning2019

    • Author(s)
      Akira Toyoda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE Global Conference on Life Sciences and Technologies (LifeTech2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Fine-tuning of Pre-trained DCNN for Gastritis Detection from Gastric X-ray Images2019

    • Author(s)
      Misaki Kanai, Ren Togo, Takahiro Ogawa and Miki Haseyama
    • Organizer
      IEEE Global Conference on Life Sciences and Technologies (LifeTech 2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of Emotions Evoked by Images Based on Multiple Gaze-based CNN Features2019

    • Author(s)
      Taiga Matsui, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, and Miki Haseyama
    • Organizer
      IEEE Global Conference on Life Sciences and Technologies (LifeTech2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Classification of subcellular protein patterns in human cells with transfer learning2019

    • Author(s)
      Zongyao Li, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Field Position Estimation in Soccer Videos Using Convolutional Neural Network-based Image Features2019

    • Author(s)
      Genki Suzuki, Sho Takahashi, Takahiro Ogawa and Miki Haseyama
    • Organizer
      The 2019 joint International Workshop on Advanced Image Technology & International Forum on Medical Imaging in Asia
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Gaze-based Visual Feature Extraction via DLPCCA for Visual Sentiment Estimation2019

    • Author(s)
      Taiga Matsui, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu and Miki Haseyama
    • Organizer
      The 2019 joint International Workshop on Advanced Image Technology & International Forum on Medical Imaging in Asia
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Classification of Tourism Categories Based on Heterogeneous Features Considering Existence of Reliable Results2019

    • Author(s)
      Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
    • Organizer
      The 2019 joint International Workshop on Advanced Image Technology & International Forum on Medical Imaging in Asia
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Automatic Metastatic Bone Tumor Classification with DCNN-based Features Using Treatment-planning CT Images2019

    • Author(s)
      Haruna Watanabe, Ren Togo, Takahiro Ogawa, Miki Haseyama, Koichi Yasuda, Khin Khin Tha, Kohsuke Kudo, Hiroki Shirato
    • Organizer
      The 2019 joint International Workshop on Advanced Image Technology & International Forum on Medical Imaging in Asia
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 電子顕微鏡画像および配合量を用いたゴム材料の特性曲線の推定に関する検討2019

    • Author(s)
      斉藤直輝, 小川貴弘, 長谷山美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 異種特徴を用いた深層学習に基づく送電鉄塔の劣化レベル分類の高精度化に関する検討2019

    • Author(s)
      前田 圭介 高橋 翔 小川 貴弘 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 電子顕微鏡位により撮像されたゴム材料からの異常検知に基づく劣化領域の推定に関する一検討2019

    • Author(s)
      藤後 廉,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 高性能マルチセンシングバンドを利用したストレス検出の精度検証2019

    • Author(s)
      伊藤 良起,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 地下鉄トンネル維持管理支援のための距離計量学習を用いた 類似点検データの検索に関する検討2019

    • Author(s)
      弦間 奨,原川 良介,小川 貴弘,長谷山美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 地下鉄トンネルの変状画像を用いた 技術者の注視領域推定のための初期検討 ― 深層学習に基づく顕著領域の推定手法の適用 ―2019

    • Author(s)
      斉藤 僚汰,前田 圭介,小川 貴弘,長谷山美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] サッカー映像視聴時の視線データを用いた攻撃選手の重要度算出に関する検討2019

    • Author(s)
      鈴木 元樹,高橋 翔,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] レーザーデータを用いた地下鉄トンネル内の変状検出に関する検討 ー 全層畳み込みネットワークを用いた変状領域の可視化 ー2019

    • Author(s)
      豊田 陽,原川 良介,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] CCTV映像を用いた河川利用者の行動分類に関する検討2019

    • Author(s)
      川本 舜,原川 良介,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] CCTV映像を用いた河川利用者の異常検出に関する検討2019

    • Author(s)
      川本 舜,原川 良介,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 転移学習を用いた胃 X 線画像における胃炎識別に関する検討2019

    • Author(s)
      金井 美岬,藤後 廉,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] OpenPoseに基づくユーザの動作を用いた映像の関心度推定に関する検討2019

    • Author(s)
      九島 哲哉,高橋 翔,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 複数の推定結果の統合に基づくTwitterのフォロイー推薦の高精度化に関する一検討2019

    • Author(s)
      滝村 祥司, 原川 良介, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 畳み込みニューラルネットワークにおける解釈性向上のための画像の属性分類に関する一検討2019

    • Author(s)
      堀井 風葉,前田 圭介,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 異種特徴を活用したネットワーク解析に基づく音楽配信サービスにおけるアーティストの人気度予測に関する検討2019

    • Author(s)
      松本 有衣,原川 良介,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 視線データを用いた画像注視時に誘起される感情の推定に関する検討 ―KDLPCCAに基づく特徴変換の導入による高精度化―2019

    • Author(s)
      松井 太我,斉藤 直輝,小川 貴弘,浅水 仁,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] トンネル切羽画像を用いた岩盤の穿孔エネルギー推定に関する初期検討2019

    • Author(s)
      山本健太郎,原川良介, 小川貴弘,長谷山美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] Progressive Growing GANに基づく胃炎識別のための画像生成手法に関する一検討2019

    • Author(s)
      渡邊 はるな,藤後 廉,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 3D residual network に基づく FDG-PET/CT 画像を用いた 悪性腫瘍候補の自動検出2019

    • Author(s)
      李 宗曜,藤後 廉,小川 貴弘 ,平田 健司 ,真鍋 治,志賀 哲,長谷山美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 畳み込みニューラルネットワークを用いた 地下鉄トンネルにおける変状検出の高精度化に関する一検討2019

    • Author(s)
      王 安,原川 良介,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2018 Annual Research Report
  • [Presentation] Estimation of Important Scenes in Soccer Videos Based on Collaborative Use of Audio-Visual CNN Features2018

    • Author(s)
      Tomoki Haruyama, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Team Tactics Estimation in Soccer Videos via Deep Extreme Learning Machine Based on Players Formation2018

    • Author(s)
      Genki Suzuki, Sho Takahashi, Takahiro Ogawa and Miki Haseyama
    • Organizer
      2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Twitter Followee Recommendation Based on Multimodal FFM Considering Social Relations2018

    • Author(s)
      Shoji Takimura, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A Human-Centered Neural Network Model with Discriminative Locality Preserving Canonical Correlation Analysis for Image Classification2018

    • Author(s)
      Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      25th IEEE International Conference on Image Processing (ICIP)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of Viewed Image Categories via CCA Using Human Brain Activity2018

    • Author(s)
      Yusuke Akamatsu, Ryosuke Harakawa, Takahiro Ogawa and Miki Haseyama
    • Organizer
      2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Missing Image Data Estimation via Iterative Convolutional Sparse Coding2018

    • Author(s)
      Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama
    • Organizer
      2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] User-centric Visual Attention Estimation Based on Relationship Between Image and Eye Gaze Data2018

    • Author(s)
      Yuya Moroto, Keisuke Maeda, Takahiro Ogawa and Miki Haseyama
    • Organizer
      2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Image Retrieval from Vague Description Based on AttnGAN2018

    • Author(s)
      Rintaro Yanagi, Ren Togo, Takahiro Ogawa and Miki Haseyama
    • Organizer
      2018 IEEE 7th Global Conference on Consumer Electronics (GCCE 2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] ANONYMOUS GASTRITIS IMAGE GENERATION VIA ADVERSARIAL LEARNING FROM GASTRIC X-RAY IMAGES2018

    • Author(s)
      Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama
    • Organizer
      International Conference on Image Processing (ICIP)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Tourism Category Classification Based on Novel Decision-making Process from Multiple Results2018

    • Author(s)
      Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
    • Organizer
      GI-CoRE GSQ, GSB & IGM Joint Symposium (2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Distress Classification via Neural Network Maximizing Canonical Correlation between Multi-modal Features2018

    • Author(s)
      Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      GI-CoRE GSQ, GSB & IGM Joint Symposium (2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Simultaneous Realization of Multiple Music Video Applications Based on Heterogeneous Network Analysis via Latent Link Estimation2018

    • Author(s)
      Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Multimedia and Expo (ICME2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Interest Level Estimation of Items via Matrix Completion Based on Adaptive User Matrix Construction2018

    • Author(s)
      Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Multimedia and Expo (ICME2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Use of deep convolutional neural network-based features for detection of cardiac sarcoidosis from polar map2018

    • Author(s)
      Ren Togo, Kenji Hirata, Osamu Manabe, Hiroshi Ohira, Ichizo Tsujino, Takahiro Ogawa, Miki Haseyama, Tohru Shiga
    • Organizer
      Society of Nuclear Medicine and Molecular Imaging Annual Meeting 2018 (SNMMI)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Tourism Category Classification on Image Sharing Services Through Estimation of Existence of Reliable Results2018

    • Author(s)
      Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama
    • Organizer
      ACM International Conference on Multimedia Retrieval (ICMR2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] ANONYMOUS IMAGE DATA GENERATION FROM GASTRIC X-RAY IMAGES FOR IMPROVING GASTRITIS RECOGNITION PERFORMANCE2018

    • Author(s)
      Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Semi-supervised Multiple Feature Fusion for Video Preference Estimation2018

    • Author(s)
      Akira Toyoda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] SFEMCCA: Supervised Fractional-Order Embedding Multiview Canonical Correlation AnalysisFor Video Preference Estimation2018

    • Author(s)
      Yoshiki Ito, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 敵対的生成ネットワークに基づく生成画像の 分類問題への応用に関する検討 - 胃 X 線画像を用いた胃炎識別におけるデータ不均衡の解消 -2018

    • Author(s)
      藤後 廉, 小川 貴弘,長谷山 美紀
    • Organizer
      第21回 画像の認識・理解シンポジウム (MIRU2018)
    • Related Report
      2018 Annual Research Report
  • [Presentation] ユーザの動作を用いた行列補完に基づく関心度の推定に関する検討 -特徴選択の導入による高精度化-2018

    • Author(s)
      九島 哲哉,高橋 翔,小川 貴弘,長谷山 美紀
    • Organizer
      第21回 画像の認識・理解シンポジウム (MIRU2018)
    • Related Report
      2018 Annual Research Report
  • [Presentation] Constructing Heterogeneous Network via LRML-based Link Estimation for Multiple Music Video Applications2018

    • Author(s)
      Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
    • Organizer
      第21回 画像の認識・理解シンポジウム (MIRU2018)
    • Related Report
      2018 Annual Research Report
  • [Presentation] Convolutional Sparse Codingを導入した深層学習に基づく変状分類手法の構築2018

    • Author(s)
      前田 圭介 高橋 翔 小川 貴弘 長谷山 美紀
    • Organizer
      第21回 画像の認識・理解シンポジウム (MIRU2018)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 正準相関分析を導入したFactorization Machinesに基づくツイート推薦の高精度化に関する検討2018

    • Author(s)
      滝村 祥司, 原川 良介, 小川 貴弘, 長谷山 美紀
    • Organizer
      第21回 画像の認識・理解シンポジウム (MIRU2018)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 地下鉄トンネルにおける変状評価支援のための類似点検データ検索の初期検討2018

    • Author(s)
      弦間奨,原川良介,小川貴弘,長谷山美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 地下鉄トンネルの点検における視線データを用いた熟練度の分析に関する一考察2018

    • Author(s)
      斉藤 僚汰,前田 圭介,小川 貴弘,長谷山 美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 深層学習に基づく特徴量を用いたサッカー映像に撮像されたフィールド位置の推定に関する検討2018

    • Author(s)
      鈴木 元樹,高橋 翔,小川 貴弘,長谷山 美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 画像共有サービスにおける画像の人気度予測に関する検討 - 回帰問題のための特徴量変換手法の導入 -2018

    • Author(s)
      豊田 陽,小川 貴弘,長谷山 美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 河川 CCTV 映像を用いた利用者の行動分類に関する初期検討2018

    • Author(s)
      川本 舜,原川 良介,小川 貴弘,長谷山 美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] AC-GANに基づく胃炎識別のための画像生成に関する検討2018

    • Author(s)
      金井 美岬,藤後 廉,小川 貴弘,長谷山 美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] テンソル補完に基づいたユーザの動作からの関心度推定に関する検討2018

    • Author(s)
      九島 哲哉,高橋 翔,小川 貴弘,長谷山 美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 複数の識別器から得られる予測値の統合に基づくフォロイー推薦の高精度化に関する検討2018

    • Author(s)
      滝村 祥司, 原川 良介,小川 貴弘,長谷山 美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 視線データを用いた画像注視時の感情推定に関する検討-正準相関分析に基づく画像特徴変換手法の導入-2018

    • Author(s)
      松井 太我,斉藤 直輝,小川 貴弘,浅水 仁,長谷山 美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] トンネル切羽画像を用いた岩盤の弾性波速度の推定に関する検討2018

    • Author(s)
      山本 健太郎, 原川 良介,小川 貴弘,長谷山 美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 深層学習に基づく画像特徴量を利用した放射線治療用CT画像における転移性骨腫瘍の検出に関する検討2018

    • Author(s)
      渡邊 はるな,藤後 廉,小川 貴弘,長谷山 美紀,安田 耕一,タ キン キン,工藤 與亮,白土博樹
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] FCNとCNNを用いた地下鉄トンネルにおける変状検出に関する検討2018

    • Author(s)
      王 安,原川 良介,小川 貴弘,長谷山 美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] Tri-trainingに基づく胃X線画像を用いた胃炎の識別に関する検討2018

    • Author(s)
      李 宗曜,藤後 廉,小川 貴弘,長谷山 美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] SemiCCAに基づくfMRIデータを用いた注視画像のカテゴリ推定の高精度化に関する検討2018

    • Author(s)
      赤松祐亮, 原川良介, 小川貴弘,長谷山美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 複数の分類器から得られる確信度に注目したサッカー映像における重要シーンの検出に関する検討2018

    • Author(s)
      春山知生,高橋翔,小川貴弘,長谷山美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 反復型のMulti-channel Convolutional Sparse Codingを用いた欠損した画素値の推定に関する検討2018

    • Author(s)
      松本真直,斉藤直輝,小川貴弘,長谷山美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 画像注視時の注視領域の時間変化を考慮したテンソル解析に基づく感情推定に関する検討2018

    • Author(s)
      諸戸祐哉,前田圭介,小川貴弘,長谷山美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] AttnGAN を用いたシーン検索に関する検討 ー再検索の導入による高精度化ー2018

    • Author(s)
      柳 凜太郎 ,藤後 廉 , 小川 貴弘 ,長谷山 美紀
    • Organizer
      平成30年度 電気・情報関係学会北海道支部連合大会
    • Related Report
      2018 Annual Research Report
  • [Presentation] 深層学習を用いた胃X線画像における胃がんリスク検出の高精度化に関する検討 ~複数体位から撮影される画像に対する適用~2018

    • Author(s)
      石原賢太, 小川貴弘, 長谷山美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 胃X線画像を用いた胃炎識別における敵対的生成ネットワークの利用に関する検討2018

    • Author(s)
      藤後 廉, 石原 賢太, 小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 作業員から取得されるセンシングデータを用いた熱中症の予兆検知に向けた検討2018

    • Author(s)
      佐坂勇磨, 小川貴弘, 長谷山美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 機械学習を用いたMR画像からの転移性脳腫瘍の分類に関する一検討2018

    • Author(s)
      菅田健斗, 小川貴弘, 長谷山美紀, タキンキン, 工藤與亮, 白𡈽博樹
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] SFEM-GSによる特徴統合を利用した映像の評価値推定の高精度化2018

    • Author(s)
      伊藤 良起,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] LRGAアルゴリズムを用いた昆虫同定のための類似画像検索に関する検討 ー データ拡張による検索精度向上の検証 ー2018

    • Author(s)
      弦間奨,小川貴弘,長谷山美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] アクティブネットを用いたラグビー映像におけるパス可能領域の推定に関する検討2018

    • Author(s)
      高橋 翔,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 深層学習を用いた画像共有サービスに投稿される観光画像のカテゴリ分類の高精度化に関する検討2018

    • Author(s)
      斉藤直輝, 小川貴弘, 浅水仁,長谷山美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 道路構造物に発生する変状の自動分類の高精度化に向けたConvolutional Sparse Coding の導入に関する検討2018

    • Author(s)
      前田 圭介 高橋 翔 小川 貴弘 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 岩盤の弾性波速度推定に向けたトンネル切羽画像の分類に関する初期検討2018

    • Author(s)
      濱野 翔太,原川 良介,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 楽曲聴取時のユーザに誘起される感情の推定に関する検討 ー 深層学習の導入による高精度化 ー2018

    • Author(s)
      段 博瀟, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 視線データと点検データの正準相関に注目した類似点検データ検索の高精度化に関する検討2018

    • Author(s)
      斉藤 僚汰,高橋 翔,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 再帰型ニューラルネットワークを用いたサッカー映像における基本戦術の推定に関する検討2018

    • Author(s)
      鈴木 元樹,高橋 翔,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 映像視聴時の fNIRS 信号を利用した映像に対する好みの推定に関する検討 ー 複数特徴量の統合と距離計量学習の導入 ー2018

    • Author(s)
      豊田 陽,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 背景差分法と深層学習による歩行者検出を用いた河川CCTV映像における歩行者追跡に関する検討2018

    • Author(s)
      川本 舜,石原 賢太,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] Video Preference Estimation Using fNIRS Signals2017

    • Author(s)
      Akira Toyoda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE Global Conference on Consumer Electronics (GCCE2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Aesthetic Quality Assessment of Images via Supervised Locality Preserving CCA2017

    • Author(s)
      Misaki Kanai, Ren Togo, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE Global Conference on Consumer Electronics (GCCE2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Interest Level Estimation Based on Matrix Completion via Rank Minimization2017

    • Author(s)
      Tetsuya Kushima, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE Global Conference on Consumer Electronics (GCCE2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Personalized Tweet Recommendation Based on Field-aware Factorization Machines with Adaptive Field Organization2017

    • Author(s)
      Shoji Takimura, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE Global Conference on Consumer Electronics (GCCE2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Image Classification for Trend Prediction Based on Integration of fNIRS and Visual Features2017

    • Author(s)
      Kazaha Horii, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE Global Conference on Consumer Electronics (GCCE2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Construction of Network Using Heterogeneous Social Metadata for Music Video Recommendation2017

    • Author(s)
      Yui Matsumoto, Ryosuke Harakawa, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE Global Conference on Consumer Electronics (GCCE2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Preference Estimation for Video Recommendation Using DCNN Features and Viewing Behavior2017

    • Author(s)
      Yoshiki Ito, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE Global Conference on Consumer Electronics (GCCE2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Detection of Gastric Cancer Risk from X-ray Images via Patch-based Convolutional Neural Network2017

    • Author(s)
      Kenta Ishihara, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Image Processing (ICIP 2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Image Retrieval Based on LRGA Algorithm and Relevance Feedback For Insect Identification2017

    • Author(s)
      Susumu Genma, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Image Processing (ICIP 2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Tag Refinement Based on Multilingual Tag Hierarchies Extracted from Image Folksonomy2017

    • Author(s)
      Shota Hamano, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Image Processing (ICIP 2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Automatic Estimation of Deterioration Level on Transmission Towers via Deep Extreme Learning Machine Based on Local Receptive Field2017

    • Author(s)
      Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Image Processing (ICIP 2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Automatic Martian Dust Storm Detection via Decision Level Fusion Based on Deep Extreme Learning Machine2017

    • Author(s)
      Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Image Processing (ICIP 2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] MvLFDA-based Video Preference Estimation Using Complementary Properties of Features2017

    • Author(s)
      Akira Toyoda, Takahiro Ogawa, Miki Haseyama
    • Organizer
      IEEE International Conference on Image Processing (ICIP 2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Detection of Gastric Cancer Risk from X-ray Images Based on Machine Learning2017

    • Author(s)
      Kenta Ishihara, Takahiro Ogawa, Miki Haseyama
    • Organizer
      GSB Workshop - Big-data Analysis, IoT and Bioinformatics
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Deterioration Level Estimation on Transmission Towers Based on Machine Learning2017

    • Author(s)
      Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      GI-CoRE GSQ, GSB & IGM Joint Symposium
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Estimation of Regions Related to Helicobacter Pylori Infection from Gastric X-ray Images2017

    • Author(s)
      Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama
    • Organizer
      GI-CoRE GSQ, GSB & IGM Joint Symposium
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Detection of Gastric Cancer Risk from X-ray Images via Soft Voting2017

    • Author(s)
      Kenta Ishihara, Takahiro Ogawa, Miki Haseyama
    • Organizer
      International Technical Conference on Circuits, Systems, Computers, and Communications (ITC-CSCC)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Deterioration Level Estimation on Transmission Towers via Extreme Learning Machine based on Combination Use of Local Receptive Field and Principal Component Analysis2017

    • Author(s)
      Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      International Technical Conference on Circuits, Systems, Computers, and Communications (ITC-CSCC)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Effectiveness Evaluation of Imaging Direction for Estimation of Gastritis Regions on Gastric X-ray Images2017

    • Author(s)
      Ren Togo, Kenta Ishihara, Takahiro Ogawa, Miki Haseyama
    • Organizer
      International Technical Conference on Circuits, Systems, Computers, and Communications (ITC-CSCC)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Identification of Reliable Results for Rubber Material Property Estimation Using Scanning Electron Microscope Images and Mix Proportions2017

    • Author(s)
      Naoki Saito, Takahiro Ogawa, Miki Haseyama
    • Organizer
      International Technical Conference on Circuits, Systems, Computers, and Communications (ITC-CSCC)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Retrieval System of Similar Inspection Records for Support of Maintenance Inspection in Expressway and Discussions of Evaluation by Experienced Inspectors2017

    • Author(s)
      Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      International Conference on Civil and Building Engineering Informatics (ICCBEI 2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Distress Classification of Class Imbalanced Data for Maintenance Inspection of Road Structures in Express Way2017

    • Author(s)
      Keisuke Maeda, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      International Conference on Civil and Building Engineering Informatics (ICCBEI 2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Retrieval of Similar Inspection Records Using Deep Learning Based Image Features in Expressway2017

    • Author(s)
      Ryota Saito, Sho Takahashi, Takahiro Ogawa, Miki Haseyama
    • Organizer
      International Conference on Civil and Building Engineering Informatics (ICCBEI 2017)
    • Related Report
      2017 Annual Research Report
    • Int'l Joint Research
  • [Presentation] サッカー映像における選手配置に注目した類似場面検出に関する検討2017

    • Author(s)
      高橋 翔,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 変状評価支援のための類似点検データ検索の高精度化に関する検討 - 熟練技術者の判定に関する推定に基づいた学習データ生成法の導入 -2017

    • Author(s)
      斉藤 僚汰,高橋 翔,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 複数の条件で撮像された走査型電子顕微鏡画像を用いたゴム材料の物性値推定に関する検討2017

    • Author(s)
      斉藤直輝, 小川貴弘, 長谷山美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 正準相関最大化を導入した深層学習に基づく送電鉄塔の劣化レベル分類に関する検討2017

    • Author(s)
      前田 圭介, 高橋 翔, 小川 貴弘, 長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] Deep Extreme Learning Machineに基づくサッカー映像に撮像されたフィールド位置の推定に関する検討2017

    • Author(s)
      鈴木 元樹,高橋 翔,小川 貴弘,長谷山 美紀
    • Organizer
      映像情報メディア学会
    • Related Report
      2017 Annual Research Report
  • [Presentation] fNIRS 信号を利用した好みの映像識別に関する検討 ー 複数の CNN 特徴量の統合による高精度化 ー2017

    • Author(s)
      豊田 陽,小川 貴弘,長谷山 美紀
    • Organizer
      第20回画像の認識・理解シンポジウム (MIRU2017)
    • Related Report
      2017 Annual Research Report
  • [Presentation] Signedネットワーク解析に基づくWeb映像集合の階層構造抽出に関する検討 ー 適応的モジュラリティ最適化による高精度化の試み ー2017

    • Author(s)
      原川 良介,小川 貴弘,長谷山 美紀
    • Organizer
      第20回画像の認識・理解シンポジウム (MIRU2017)
    • Related Report
      2017 Annual Research Report
  • [Presentation] 音響特徴と心拍特徴を用いた楽曲聴取時のユーザに誘起される感情の推定の高精度化に関する検討2017

    • Author(s)
      段 博瀟, 小川 貴弘, 長谷山 美紀
    • Organizer
      平成29年度電気・情報関係学会北海道支部連合大会
    • Related Report
      2017 Annual Research Report
  • [Presentation] fNIRS 信号を利用した好みの映像識別に関する検討ー特徴量選択の導入による高精度化ー2017

    • Author(s)
      豊田 陽,小川 貴弘,長谷山 美紀
    • Organizer
      平成29年度電気・情報関係学会北海道支部連合大会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 背景差分法と深層学習を用いた河川 CCTV 映像における歩行者検出の高精度化に関する検討2017

    • Author(s)
      川本 舜,石原 賢太,小川 貴弘,長谷山 美紀
    • Organizer
      平成29年度電気・情報関係学会北海道支部連合大会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 敵対的学習により生成された画像が与える審美的印象に関する検討2017

    • Author(s)
      金井 美岬,藤後 廉,小川 貴弘,長谷山 美紀
    • Organizer
      平成29年度電気・情報関係学会北海道支部連合大会
    • Related Report
      2017 Annual Research Report
  • [Presentation] ランク最小化に基づく行列補完を用いた関心度推定の高精度化に関する検討2017

    • Author(s)
      九島 哲哉,高橋 翔,小川 貴弘,長谷山 美紀
    • Organizer
      平成29年度電気・情報関係学会北海道支部連合大会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 適応的フィールド構成を導入したFFMに基づくツイート推薦の高精度化に関する検討2017

    • Author(s)
      滝村祥司,原川良介,小川貴弘,長谷山美紀
    • Organizer
      平成29年度電気・情報関係学会北海道支部連合大会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 画像特徴量と fNIRS 特徴量の関連性に注目した画像分類の高精度化に関する検討2017

    • Author(s)
      堀井 風葉,前田 圭介,小川 貴弘,長谷山 美紀
    • Organizer
      平成29年度電気・情報関係学会北海道支部連合大会
    • Related Report
      2017 Annual Research Report
  • [Presentation] 異種特徴の関連性を活用したネットワーク解析に基づく音楽動画コンテンツの推薦に関する一検討 -ユーザの好みを反映可能とする特徴変換による高精度化-2017

    • Author(s)
      松本 有衣,原川 良介,小川 貴弘,長谷山 美紀
    • Organizer
      平成29年度電気・情報関係学会北海道支部連合大会
    • Related Report
      2017 Annual Research Report
  • [Presentation] ビッグデータからの価値創出を実現する次世代情報検索 ~AI・IoT技術の発想支援型検索への導入~2017

    • Author(s)
      長谷山 美紀
    • Organizer
      電子情報通信学会
    • Related Report
      2017 Annual Research Report
    • Invited

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Published: 2017-04-28   Modified: 2023-01-30  

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