Rchr
J-GLOBAL ID:201201009006654755   Update date: Jul. 04, 2024

Thomas Diego

Thomas Diego
Homepage URL  (1): https://sites.google.com/site/diegotthomas/
Research field  (2): Human interfaces and interactions ,  Database science
Research keywords  (4): Range image ,  Photometry ,  3D Registration ,  3D modeling
Research theme for competitive and other funds  (13):
  • 2024 - 2026 A new data-driven approach to bring humanity into virtual worlds with computer vision
  • 2020 - 2025 Development of underwater active 3D scanning techniques and analysis on underwater structures
  • 2021 - 2022 AI-based animation of 3D avatars.
  • 2021 - 2022 A new approach for supporting architectural works with virtual reality environments.
  • 2020 - 2022 2 years training and international research
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Papers (50):
  • Hitoshi Teshima, Naoki Wake, Diego Thomas, Yuta Nakashima, David Baumert, Hiroshi Kawasaki, Katsushi Ikeuchi. Integration of gesture generation system using gesture library with DIY robot design kit. 2022 IEEE/SICE International Symposium on System Integration (SII). 2022
  • Takumi Kitamura, Hitoshi Teshima, Diego Thomas, Hiroshi Kawasaki. Refining OpenPose With a New Sports Dataset for Robust 2D Pose Estimation. Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision. 2022
  • Victor Gouveia de M. Lyra, Isabella de Andrade, João Paulo Lima, Rafael Roberto, Lucas Figueiredo, João Marcelo X. N. Teixeira, Diego Thomas, Hideaki Uchiyama, Veronica Teichrieb. Generalizable Online 3D Pedestrian Tracking with Multiple Cameras. Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. 2022. 820-827
  • João Paulo Lima, Rafael Roberto, Lucas Figueiredo, Francisco Simões, Diego Thomas, Hideaki Uchiyama, Veronica Teichrieb. 3D pedestrian localization using multiple cameras: a generalizable approach. Machine Vision and Applications. 2022. 33. 4. 61-61
  • Akihiko Sayo, Diego Thomas, Hiroshi Kawasaki, Yuta Nakashima, Katsushi Ikeuchi. PoseRN: A 2D pose refinement network for bias-free multi-view 3D human pose estimation. 2021 IEEE International Conference on Image Processing (ICIP). 2021
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Lectures and oral presentations  (20):
  • Refining OpenPose With a New Sports Dataset for Robust 2D Pose Estimation
    (IEEE/CVF Winter Conference on Applications of Computer Vision 2022)
  • スポーツ選手のマーカレスモーションキャプチャーのための効率的なOpenpose再学習
    (情報処理学会 第248回自然言語処理・第226回コンピュータビジョンとイメージメディア合同研究発表会 2021)
  • Unsupervised 3D Human Pose Estimation in Multi-view-multi-pose Video
    (25th International Conference on Pattern Recognition (ICPR) 2021)
  • Analysis and Classification of Gestures in TED Talks
    (パターン認識・メディア理解研究会 (PRMU 2020) 2020)
  • TetraTSDF: 3D human reconstruction from a single image with a tetrahedral outer shell
    (IEEE/CVF Conference on Computer Vision and Pattern Recognition 2020)
more...
Professional career (1):
  • Doctor (National Institute of Informatics)
Awards (6):
  • 2019/11 - Machine Perception and Robotics (MPR 2019) Best poster presentation award
  • 2019/11 - The 9th Pacific-Rim Symposium on Image and Video Technology (PSIVT 2019) Best paper award
  • 2019/07 - Asia Pacific Society for Computing and Information Technology Outstanding research achievement and contribution to ASPCIT 2019 Annual Meeting Invited Presentation
  • 2019/02 - IW-FCV2019 Best poster award
  • 2015/07 - MIRU 2015 Outstanding reviewer
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Association Membership(s) (1):
IEEE
※ Researcher’s information displayed in J-GLOBAL is based on the information registered in researchmap. For details, see here.

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