Bo (Hawk) Wang

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Welcome to my research site, where I share my research in computer vision and machine learning. The work I do spans a broad spectrum of topics and domains, including human modeling (pose and action), 3D vision, robotics, and applications in biomedical and health sciences. Currently, I am a Principal Researcher at CtrsVision. My previous roles include Senior Researcher at Tencent US and Research Scientist at GE Global Research. I obtained my Ph.D. from the School of Computing at the University of Utah in 2015.

I’m excited to announce that I will be joining Ole Miss this Fall as an Assistant Professor in Computer Science. I am currently recruiting two PhD students to join my lab, starting this fall (or next spring). If you’re passionate about research in computer vision and machine learning, I’d love to hear from you. Please email me your CV and transcript with the subject line “[24Fall/25Spring PhD Application - Your Name]”. Let’s explore how we can work together to push the boundaries of what’s possible in our field.

news

Dec, 2023 An HOI detection paper accepted at AAAI 2024.
Nov, 2023 Serve as Area Chair for ECCV 2024.
Feb, 2023 A 3D Dense Face Alignment paper accepted at CVPR 2023.
Feb, 2023 A 2D human pose estimation paper accepted to Pattern Recognition journal.
Oct, 2022 Received Outstanding Reviewer Award at ECCV 2022.
Apr, 2022 A 3D multi-person pose estimation paper accepted to TPAMI.

selected publications

  1. AAAI
    Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI
    Qinqian Lei , Bo Wang, and Robby T Tan
    In Proceedings of the AAAI Conference on Artificial Intelligence , 2024
  2. CVPR
    DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment
    Heyuan Li , Bo Wang, Yu Cheng , Mohan Kankanhalli , and 1 more author
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023
  3. PR journal
    Bottom-up 2D pose estimation via dual anatomical centers for small-scale persons
    Yu Cheng* , Yihao Ai* , Bo Wang, Xinchao Wang , and 1 more author
    Pattern Recognition, 2023
  4. TPAMI
    Dual networks based 3d multi-person pose estimation from monocular video
    Yu Cheng , Bo Wang, and Robby T Tan
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
  5. CVPR
    Monocular 3D multi-person pose estimation by integrating top-down and bottom-up networks
    Yu Cheng , Bo Wang, Bo Yang , and Robby T Tan
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2021
  6. AAAI
    Graph and temporal convolutional networks for 3d multi-person pose estimation in monocular videos
    Yu Cheng , Bo Wang, Bo Yang , and Robby T Tan
    In Proceedings of the AAAI Conference on Artificial Intelligence , 2021
  7. AAAI
    3d human pose estimation using spatio-temporal networks with explicit occlusion training
    Yu Cheng* , Bo Yang* , Bo Wang*, and Robby T Tan
    In Proceedings of the AAAI Conference on Artificial Intelligence , 2020
  8. ICCV
    Occlusion-aware networks for 3d human pose estimation in video
    Yu Cheng* , Bo Yang* , Bo Wang, Wending Yan , and 1 more author
    In Proceedings of the IEEE/CVF International Conference on Computer Vision , 2019