Hawk Bo Wang

I am an Assistant Professor in Computer Science at Ole Miss. My research interests in computer vision and deep learning 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 AI and computer vision venues, including CVPR, ICCV, ECCV, and AAAI, among others. For more information about computer vision and deep learning research in general, check out my blog post.

Contact

214 Weir Hall, University, MS 38677

Information for Prospective Students

Current Ole Miss students: I encourage you to email me your CV and schedule a meeting to discuss opportunities 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 “[25Spring (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, 2024	A zero-shot HOI paper accepted at NeurIPS 2024 (ranked first in AI research).
Jul, 2024	A human pose paper accepted at ECCV 2024 (ranked top three in computer vision).
Jan, 2024	Outstanding Reviewer Award at WACV 2024.
Dec, 2023	An HOI detection paper accepted at AAAI 2024 (top venue in AI research).
Nov, 2023	Serve as Area Chair for ECCV 2024.
Feb, 2023	A face alignment paper accepted at CVPR 2023 (ranked second across all disciplines).
Oct, 2022	Outstanding Reviewer Award at ECCV 2022.

recent publications

EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection

Qinqian Lei , Bo Wang, and Robby T Tan

In Neural Information Processing Systems , 2024

arXiv Bib Code Website

@inproceedings{lei2024zeroshot,
  title = {EZ-HOI: VLM Adaptation via Guided Prompt Learning for Zero-Shot HOI Detection},
  author = {Lei, Qinqian and Wang, Bo and Tan, Robby T},
  booktitle = {Neural Information Processing Systems},
  year = {2024},
}

Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions

Yihao Ai , Yifei Qi , Bo Wang, Yu Cheng , and 2 more authors

In European Conference on Computer Vision , 2024

arXiv Bib Code

@inproceedings{ai2024domain,
  title = {Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions},
  author = {Ai, Yihao and Qi, Yifei and Wang, Bo and Cheng, Yu and Wang, Xinchao and Tan, Robby T},
  booktitle = {European Conference on Computer Vision},
  year = {2024},
}

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

arXiv Bib Code Website

@inproceedings{lei2024fewshot,
  title = {Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI},
  author = {Lei, Qinqian and Wang, Bo and Tan, Robby T},
  booktitle = {Proceedings of the AAAI Conference on Artificial Intelligence},
  year = {2024},
}

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

arXiv Bib HTML Code

@inproceedings{li2023dsfnet,
  title = {DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment},
  author = {Li, Heyuan and Wang, Bo and Cheng, Yu and Kankanhalli, Mohan and Tan, Robby T},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  pages = {4531--4540},
  year = {2023},
}