国際会議論文(Conference Papers)

2024

  • Acoustic-based 3D human pose estimation robust to human position
    Yusuke Oumi, Yuto Shibata, Go Irie, Akisato Kimura, Yoshimitsu Aoki, Mariko Isogawa
    British Machine Vision Conference 2024 (BMVC2024), to appear, 2024. (acceptance rate: 25.88%)
  • Unsupervised Metric Learning for Expressing Color and Shape Information to Uncover Abstract Connections in Image Datasets
    Shun Obikane, Haruna Tagawa, Yoshimitsu Aoki
    ICPR2024, Kolkata, Dec 2024.
  • Rethinking Image Super Resolution from Training Data Perspectives
    Go Ohtani, Ryu Tadokoro, Ryosuke Yamada, Yuki M Asano, Iro Laina, Christian Rupprecht, Nakamasa Inoue , Rio Yokota, Hirokatsu Kataoka, Yoshimitsu Aoki
    ECCV2024, No.9, Milano, Oct 2024.
  • Data Collection-free Masked Video Modeling
    Yuchi Ishikawa, Masayoshi Kondo, Yoshimitsu Aoki
    ECCV2024, Milano, No.199, Oct 2024.
  • Predicting Grade of Execution in Figure Skating Jump: An Analysis of Ladies’ Double Axel Jumps at World Championships
    Seiji Hirosawa, Yoshimitsu Aoki
    The 14th World Congress of Performance Analysis of Sport, England, Aug 2024.
  • Perspective Cue Training Framework for Multi-Camera BEV Segmentation
    Haruya Ishikawa, Takumi Iida, Yoshinori Konishi, Yoshimitsu Aoki
    IROS2024, Abu Dhabi, Oct. 2024. (Accepted as Oral)
  • Guided by the Way: The Role of On-the-route Objects and Scene Text in Enhancing Outdoor Navigation
    Yanjun Sun, Yue Qiu, Yoshimitsu Aoki, Hirokatsu Kataoka
    ICRA2024, Yokohama, June 2024.
  • 3D Human Scan With A Moving Event Camera
    Kai Kohyama, Shintaro Shiba, Yoshimitsu Aoki
    Computer Vision for Mixed Reality workshop[CV4MR] in CVPR2024, pp.5586-5596, June 2024.

2023

  • Expert’s gaze-based prediction model for assessing the quality of figure skating jumps
    Seiji HIROSAWA, Takayoshi YAMASHITA, Yoshimitsu AOKI
    14th International Symposium on Computer Science in Sport 2023. Zhejiang University, Sep. 2023.
  • Boosting Outdoor Vision-and-Language Navigation with On-the-route Objects
    Yanjun Sun, Yue Qiu, Yoshimitsu Aoki, Hirokatsu Kataoka
    Embodied AI Workshop CVPR2023, Vancouver, Canada, June 2023.
  • Surgical workflow recognition for effective use of plastic surgery videos
    T.Kobayashi, H.Kajita, Y.Takatsume, Y.Aoki
    CARS 2023 Computer Assisted Radiology and Surgery, ISCAS-PO-34, Munich, Germany, June 2023.
  • Listening human behavior: 3D human pose estimation with acoustic signals
    Yuto Shibata, Yutaka Kawashima, Mariko Isogawa, Go Irie, Akisato Kimura, Yoshimitsu Aoki
    IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR) 2023, Vancouver, Canada, June 2023.

2022

  • Self-Supervised Learning of Inlier Events for Event-based Optical Flow
    Jun Nagata and Yoshimitsu Aoki
    The 33rd British Machine Vision Conference(BMVC2022), London, UK, Nov. 2022.
  • Detection of Osteoarthritis from Multimodal Hand Data
    Julian Jorge Andrade Guerreiro, Yoshimitsu Aoki, Shuntaro Saito, Katsuya Suzuki
    44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC2022), Glasgow, Scotland, United Kingdom, July 2022.
  • Detecting Spinal Alignment Through Depth Image
    Reina Ishibashi, Hideto Kameshima, Yuji Nishio, Yukio Sato, Kota Watanabe and Yoshimitsu Aoki
    Workshop on Computer-Aided Diagnosis for Biomedical Applications, SITIS2022, Dijon, France, Nov. 2022. (Accepted)
  • Secrets of Event-Based Optical Flow
    Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego
    European Conference on Computer Vision (ECCV2022), pp.628-645, Tel Aviv, Oct. 2022.(Oral)
  • Document Shadow Removal with Foreground Detection Learning from Fully Synthetic Images
    Yuhi Matsuo, Naofumi Akimoto, Yoshimitsu Aoki
    IEEE International Conference in Image Processing 2022(ICIP2022), DOI: 10.1109/ICIP46576.2022.9897217, Bordeaux, France, Oct. 2022. (Accepted)
  • Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation
    Naofumi Akimoto, Yuhi Matsuo, Yoshimitsu Aoki
    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR2022), pp.11441-11450, June 2022.
  • Machine-learning classification of surgical procedures using multiple views of surgical fields
    R. Fujii, H. Kajita, Y. Takatsume, Y. Aoki
    CARS2022(Computer Assisted Radiology and Surgery 2022), Jun 2022. (Accepted)
  • Removing irrelevant frames in plastic surgery videos using semi-supervised learning combined with optical flow
    T. Kobayashi, H. Kajita, Y. Takatsume, Y. Aoki
    CARS2022(Computer Assisted Radiology and Surgery 2022), Jun 2022. (Accepted)
  • Age Shouldn’t Matter: Toward More Accurate Pedestrian Detection via Self-Training
    Shunsuke Kogure, Kai Watabe, Ryosuke Yamada, Yoshimitsu Aoki, Akio Nakamura, Hirokatsu Kataoka
    AAAI 2022 Workshop on Artificial Intelligence with Biased or Scarce Data (AIBSD 2022), Accepted, 2022.

2021

  • Toward practical application of image AI research
    Yoshimitsu Aoki
    IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET2021), Online, Sep 2021.(Keynote Speaker)
  • Post-Capture Control in Hdr Refocused Image with the Theory of Compressive Epsilon Photography
    Atsushi Ito, Yoshimitsu Aoki
    The 7th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC2021), 2P-6, Sep 2021.
  • Temporal Cross-Modal Attention for Audio-Visual Event Localization
    Yoshiki Nagasaki, Masaki Hayashi, Naoshi Kaneko and Yoshimitsu Aoki
    The 7th IIEEJ International Conference on Image Electronics and Visual Computing (IEVC2021), 1P-11, Sep, 2021.
  • Robust Self-Trained Person Detection for Vulnerable Road Users
    S. Kogure, K. Watabe, R. Yamada, Y. Aoki, A. Nakamura, H. Kataoka
    CVPR 2021 Workshop on Beyond Fairness
  • Multi-modal Action Segmentation in the Kitchen with a Feature Fusion Approach
    Shunsuke Kogure, Yoshimitsu Aoki
    QCAV2021, GT2-17, Online, May 2021.
  • Out-of-Distribution Detection for Data with Similar Features
    Yutaka Kawashima, Mayuka Higo, Toshiyuki Tokiwa, Yukihiro Asami, Kenichi Nonaka, and Yoshimitsu Aoki
    QCAV2021, GT3-16, Online, May 2021.
  • Alleviating Over-Segmentation Errors by Detecting Action Boundaries
    Yuchi Ishikawa, Seito Kasai, Yoshimitsu Aoki, and Hirokatsu Kataoka
    Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV2021), pp.2322-2331, Jan 2021.
  • Analysis of Recent Re-Identification Architectures for Tracking-by-Detection Paradigm in Multi-Object Tracking
    Haruya Ishikawa, Masaki Hayashi, Trong Phan, Kazuma Yamamoto, Makoto Masuda, and Yoshimitsu Aoki
    roceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5 VISAPP: VISAPP, ISBN 978-989-758-488-6, pages 234-244, Feb 2021.

2020

2019

  • Weakly supervised domain adaptation with point supervision in histopathological image segmentation
    Shun Obikane, Yoshimitsu Aoki
    The 5th Asian Conference on Pattern Recognition(ACPR2019), Auckland, New Zealand, Nov 2019.
  • Fine-grained Action Recognition in Assembly Work Scenes by Drawing Attention to the Hands
    Takuya Kobayashi, Yoshimitsu Aoki, Shogo Shimizu, Katsuhiro Kusano, Seiji Okumura
    The 15th International Conference on Signal Image Technology and Internet based Systems(SITIS2019),Napoli, Italy, Nov 2019.
  • Shot Detection in Racket Sport Video at the Frame Level Using A Recurrent Neural Network
    Shuto Horie, Yuji Sato, Junko Furuyama, Masamoto Tanabiki, Yoshimitsu Aoki
    The 15th International Conference on Signal Image Technology and Internet based Systems(SITIS2019), Napoli, Italy, Nov 2019.
  • Task-oriented Function Detection Based on Operational Tasks
    Yuchi Ishikawa, Haruya Ishikawa , Shuichi Akizuki, Yoshimitsu Aoki
    The 19th International Conference on Advanced Robotics(ICAR2019), Belo Horizonte, Brazil, Dec 2019. (Accepted)
  • Flood Susceptibility via Data Mining and Hydrograph Analysis: A Case Study of Langat River Basin, Selangor, Malaysia
    Siti Nor Khuzaimah Amit, Yasushi Kiyoki, Yoshimitsu Aoki
    29th International Conference on Information Modelling and Knowledge Bases EJC 2019, Lappeenranta, Finland, June 2019.
  • Human-Object Maps for Daily Activity Recognition
    Haruya Ishikawa, Yuchi Ishikawa, Shuichi Akizuki, Yoshimitsu Aoki
    International Conference on Machine Vision Applications(MVA2019),Tokyo, May 2019.
  • 360-Degree Image Completion by Two-Stage Conditional GANs
    Naofumi Akimoto, Seito Kasai, Masaki Hayashi, Yoshimitsu Aoki
    2019 IEEE International Conference on Image Processing (ICIP 2019), Taipei, Taiwan, Sep. 2019.
  • Action Segmentation in Badminton videos for Shot Classification with Skeleton-based Features
    Daichi Yamaoka, Yoshimitsu Aoki
    IW-FCV2019, Gangnung, Korea, Feb 2019.
  • FOE-based Regularization for Optical Flow Estimation from an In-vehicle Event Camera
    Jun Nagata, Yusuke Sekikawa, Kosuke Hara, Yoshimitsu Aoki
    International Workshop on Advanced Image Technology 2019(IWAIT2019), Singapore, Jan 2019.

2018

2017

  • Disaster Detection from Aerial Imagery with Convolutional Neural Network
    Siti Nor Khuzaimah Binti Amit, Yoshimitsu Aoki
    The 19th International Electronics Symposium on Knowledge Creation and Intelligent Computing, Sep 2017.
  • Action Detection and Attention Estimation of TV Viewer
    Yu Inoue, Yoshimitsu Aoki
    The Workshop on E-Commerce and Entertainment Computing 2017, Sep 2017.
  • Development of a software estimates spinal alignment utilizing artificial intelligence for scoliosis screening
    Kota Watanabe, Choi Ran, Yoshimitsu Aoki, et al.
    52nd Annual Meeting of SCOLIOSIS RESEARCH SOCIETY(SRS2017), Sep 2017.
  • Danger Level Modeling and Analysis of Vehicle-Pedestrian Encounter using Situation Dependent Topic Model
    Kyohei Otsuka, Kosuke Hara, Teppei Suzuki, Yoshimitsu Aoki
    IEEE Intelligent vehicles Symposium(IV2017), June 2017.
  • Pedestrian Near-Miss Analysis on Vehicle-Mounted Driving Recorders
    Teppei Suzuki, Yoshimitsu Aoki, Hirokatsu Kataoka
    MVA2017, May 2017.
  • Dilated Convolutions for Image Classification and Object Localization
    Yasunori Kudo, Yoshimitsu Aoki
    MVA2017, May 2017
  • Robust Iris Tracking based on Eyelid Shape Estimation using CNN
    Kimimasa Tamura, Yoshimitsu Aoki
    NCSP2017, Feb 2017.
  • Detecting Conversational Group Associates from Static Images
    Shoichi Inaba, Yoshimitsu Aoki, et al.
    NCSP2017, Feb 2017.
  • Top-view Human Pose Estimation using CNNs Chaining to Detection System
    Ryuji Go, Yoshimitsu Aoki
    NCSP2017, Feb 2017.
  • Swimmer Detection and Stroke Rate Estimation using Swimmer's Motion Intensity
    Kohei Hakozaki, Masamoto Tanabiki, Junko Furuyama, Yuji Sato, Yoshimitsu Aoki
    IW-FCV2017, Feb 2017.

2016

  • Tracking People in Dense Crowds using Supervoxels
    Shota Takayama,Teppei Suzuki,Yoshimitsu Aoki,Sho Isobe,Makoto Masuda
    12th International Conference on Signal-Image Technology & Internet-Based Systems(STIS2016), Nov 2016.
  • Conversational Group Detection based on Social Context using Graph Clustering Algorithm
    Shoichi Inaba, Yoshimitsu Aoki
    12th International Conference on Signal-Image Technology & Internet-Based Systems(STIS2016), Nov 2016.
  • Flexible Top-view Human Pose Estimation for Detection System Via CNN
    Ryuji Go, Yoshmitsu Aoki
    The 5th IEEE Global Conference on Consumer Electronics (GCCE 2016),Oct 2016.
  • Analysis of Satellite Images for Disaster Detection
    Siti Nor Khuzaimah Binti Amit, Yoshimitsu Aoki
    IEEE the International Geoscience and Remote Sensing Symposium 2016(IGARSS2016), July 2016.
  • Dominant Codewords Selection with Topic Model for Action Recognition
    Hirokatsu Kataoka, Masaki Hayashi, Kenji Iwata, Yutaka Satoh, Yoshimitsu Aoki, Slobodan Ilic
    IEEE CVPR2016 Workshop on ChaLearn Looking at People, June 2016.
  • Building Change Detection via Semantic Segmentation and Difference Extraction
    Siti Nor Khuzaimah Binti Amit, Yoshimitsu Aoki
    The 26th International Conference on Information Modelling and Knowledge Bases(EJC2016), June 2016.
  • Activity Prediction Using a Space-Time CNN and Bayesian Framework
    Hirokatsu Kataoka, Yoshimitsu Aoki, Kenji Iwata,Yutaka Satoh
    The 11th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications(VISAPP2016), Feb 2016.
  • Pose estimation and behavior recognition using a three-dimensional region with CNN
    Keeseon Kim, Masao Yamanaka,Yoshimitsu Aoki
    The 22st Korea-Japan joint Workshop on Frontiers of Computer Vision(FCV2016), Feb 2016.
  • Model Based 3D Gaze Estimation from a Monocular Camera
    Kimimasa Tamura, Yoshimitsu Aoki
    The 22st Korea-Japan joint Workshop on Frontiers of Computer Vision(FCV2016), Feb 2016.
  • Automatic Screening system for scoliosis utilizing moire pattern
    Ran Choi, Kota Watanabe, Yoshmitsu Aoki
    The 22st Korea-Japan joint Workshop on Frontiers of Computer Vision(FCV2016), Feb 2016.
  • Multiple Objects Extraction from Aerial Imagery with Convolutional Neural Networks
    Shunta Saito, Takayoshi Yamashita, Yoshimitsu Aoki
    International Symposium on Electronic Imaging 2016, Feb 2016.
2015以前はこちら

Aoki Media Sensing Lab.

Keio University, Dept. of Electronics and Electrical Engineering
Faculty of Science and Technology

3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa, 223-8522, Japan

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