Hawk Bo Wang

I am an Assistant Professor in Computer Science at Ole Miss. My research interests in computer vision, deep learning, and multimodal models focus on enhancing the robustness and generalization of models, with applications to human-centric tasks such as human pose estimation and human-object interaction. I obtained my PhD from the School of Computing at the University of Utah. After that, I spent nearly a decade in industry research labs at GE Global Research, Tencent US, and CtrsVision. In both industry and academia, I regularly serve as a Program Committee/Area Chair for leading computer vision venues, including CVPR, ICCV, ECCV, NeurIPS, and WACV, among others. For more information about computer vision and deep learning research in general, check out my blog post.
Contact: 209-C Weir Hall, University, MS 38677
Information for Prospective Students
Current Ole Miss students: If you’re interested in research opportunities with me, please plan to take my courses (e.g., Computer Vision or Deep Learning). Afterward, feel free to email me your CV and we can set up a time to discuss potential projects in person.
Prospective students: If you are interested in pursuing a PhD at Ole Miss and would like to work with me, please email your CV and transcripts with the subject line “[26Fall (or other semester you plan to start) PhD Application - Your Name].”
For more information about computer vision and deep learning research and its impact, I encourage you to read my blog post.
news
Sep, 2025 | A paper on texture transfer for Gaussian splatting accepted at NeurIPS 2025 (#1 in AI). |
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Aug, 2025 | Serve as Area Chair for WACV 2026. |
Jun, 2025 | An HOI detection paper accepted at ICCV 2025 (top-3 in CV). |
Sep, 2024 | A zero-shot HOI paper accepted at NeurIPS 2024 (#1 in AI). |
Jul, 2024 | A human pose paper accepted at ECCV 2024 (top-3 in CV). |
Jan, 2024 | Outstanding Reviewer Award at WACV 2024. |
Nov, 2023 | Serve as Area Chair for ECCV 2024. |
Oct, 2022 | Outstanding Reviewer Award at ECCV 2022. |
recent publications
- 3DOTT: Texture Transfer for 3D Objects from a Single Reference ImageIn Neural Information Processing Systems , 2025