I am a tenure-track assistant professor in Computer Science at the University of Virginia, leading the Computer Vision Lab. Before joining UVA, I was a Postdoctoral Researcher at Caltech, advised by Georgia Gkioxari. I obtained my Ph.D. in Computer Science at UMass Amherst in 2023, co-advised by Subhransu Maji and Daniel Sheldon.
My research interests include: (1) Self-supervised Representation Learning; (2) 3D Vision, Video Understanding and Generation; (3) Applications of Computer Vision in Other Domains (e.g., Ecology, Chemistry, etc.)
Prospective Students: I am actively looking for research interns, if you’re interestd, please contact me (zc3bp@virginia.edu) with your CV or complete this form. Please visit Computer Vision Lab @ UVa for more information.
News
02/26 One paper accepted to CVPR 2026: WildRayZer. Congrats Xuweiyi and Wentao!
02/26 Gave a talk at the Symposium on Computer and Autonomous Vision Systems on Rethinking Self-Supervised Learning in Computer Vision: Challenges, Tasks, and Methods. Thanks to Lei, Cheng, and Sheng for the kind invitation!
01/26 One paper accepted to ICLR 2026: Point-MoE. Congrats Xuweiyi and Wentao!
01/26 Teaching Computer Vision this Spring.
01/26 I will be co-organizing GPU-Accelerated Computing Research Group. Welcome to join us to explore the intersection of GPUs with AI, HPC, systems/cybersecurity, and sustainability.
12/25 I'll be serving on Senior Program Committee at IJCAI
11/25 Received an Adobe Research Gift. Thank you, Adobe!
10/25 Two papers accepted to 3DV 2026: OVMono3D and Point-MAE-Zero. Congrats Jin and Xuweiyi!
10/25 Received MathWorks Research Award. Thank you, MathWorks!
09/25 Received NVIDIA Academic Grant Program Award. Thank you, NVIDIA!
09/25 Gave a talk at NSF-Simons AI Institute for Cosmic Origins on Computer Vision for Scientific Discovery [Record]
09/25 Two papers accepted to NeurIPS 2025: LabelAny3D and Frame-In-N-Out. Congrats Jin and Boyang!
09/25 Teaching 3D Computer Vision this Fall.
08/25 Received AMD’s High Performance Compute Fund. Thank you, AMD!
06/25 I'll be serving on Senior Program Committee at AAAI for Social Impact Track.
05/25 Our NSF NAIRR Pilot project has been awarded!
03/25 Gave a talk at MathWorks: Recognize Anything in 3D with Minimal Human Supervision
02/25 One papers accepted to CVPR 2025: Self-supervised Learning for Mid-Level Vision. Congrats Xuweiyi!
01/25 Teaching Computer Vision this Spring.
12/24 Received an Adobe Research Gift. Thank you, Adobe!
12/24 Gave a talk at UVA AIML Seminar: Recognize Anything in 3D with Minimal Human Supervision
09/24 Teaching 3D Computer Vision this Fall.
Xuweiyi Chen, Wentao Zhou, Zezhou Cheng
Computer Vision and Pattern Recognition (CVPR), 2026.
[PDF | Project Website | Dataset | Source code (Coming soon)]
Keywords: self-supervised learning, 3D understanding
Wentao Zhou, Xuweiyi Chen, Vignesh Rajagopal, Jeffrey Chen, Rohan Chandra, Zezhou Cheng
arXiv: 2512.10956
[PDF | Project Website | Source code]
Keywords: mid-level vision, robot navigation
Xuweiyi Chen, Wentao Zhou, Aruni RoyChowdhury, Zezhou Cheng
The International Conference on Learning Representations (ICLR) 2026
[PDF | Project Website]
Keywords: 3D understanding
International Conference on 3D Vision (3DV) 2026
[PDF | Project Website | Dataset | Source code]
Keywords: Self-supervised learning, 3D representation learning
Jin Yao, Hao Gu, Xuweiyi Chen, Jiayun Wang, Zezhou Cheng
International Conference on 3D Vision (3DV) 2026
[PDF | Project Website | Source code]
Keywords: 3D recognition
2025
Boyang Wang, Xuweiyi Chen, Matheus Gadelha, Zezhou Cheng
Conference on Neural Information Processing Systems (NeurIPS) 2025
[PDF | Project Website | Source code]
Keywords: Controllable video generation
LabelAny3D: Label Any Object 3D in the Wild
Jin Yao, Radowan Mahmud Redoy, Sebastian Elbaum, Matthew B. Dwyer, Zezhou Cheng
Conference on Neural Information Processing Systems (NeurIPS) 2025
[PDF | Project Website | Source code | 3D Annotation Tool]
Keywords: 3D understanding
Xuweiyi Chen, Markus Marks, Zezhou Cheng
Computer Vision and Pattern Recognition (CVPR), 2025.
[PDF | Project Website | Source code]
Keywords: Self-supervised learning, 3D representation learning
Xuweiyi Chen, Tian Xia, Sihan Xu, Jed Jianing Yang, Joyce Chai, Zezhou Cheng
3D-LLM/VLA Workshop @ CVPR 2025
[PDF | Project Website]
Keywords: 3D understanding
E-BARF: Bundle Adjusting Neural Radiance Fields from a Moving Event Camera
Zhipeng Tang, Shifan Zhu, Zezhou Cheng, Donghyun Kim, Erik Learned-Miller
Event-based Vision @ CVPR 2025
[PDF]
Keywords: 3D understanding
Before 2024 Fall
Gustavo Perez, Wenlong Zhao, Zezhou Cheng, Maria Carolina Belotti, Yuting Deng, Victoria Simons, Elske Tielens, Jeffrey Kelly, Kyle Horton, Subhransu Maji, Daniel Sheldon
Remote Sensing in Ecology and Conservation. 2024;
[PDF | Source code]
Keywords: AI for ecology
Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia
IEEE International Conference on Computer Vision (ICCV), 2023.
[PDF | Project Website]
Keywords: 3D pose estimation, Neural rendering
Zezhou Cheng, Matheus Gadelha, Subhransu Maji
ICCV workshop on Recovering 6D Object Pose (ICCV workshop), 2023.
[PDF | Project Website | Poster]
Keywords: unsupervised learning; 3D pose estimation.
Yachan Liu*, Gustavo Perez*, Zezhou Cheng, Aaron Sun, Samuel Hoover, Wei Fan, Subhransu Maji, Peng Bai (*equal contribution)
Journal of Materials Chemistry A, 2023.
[PDF | Project Website]
Keywords: 3D shape understanding; AI for Chemistry
Wenlong Zhao, Gustavo Perez, Zezhou Cheng, Maria Carolina Belotti, Yuting Deng, Victoria Simons, Elske Tielens, Jeffrey Kelly, Kyle Horton, Subhransu Maji, Daniel Sheldon
NeurIPS 2023 Computational Sustainability: Pitfalls and Promises from Theory to Deployment
[PDF | Project Website]
Keywords: AI for ecology
Zezhou Cheng, Menglei Chai, Jian Ren, Hsin-Ying Lee, Kyle Olszewski, Zeng Huang, Subhransu Maji, Sergey Tulyakov
European Conference on Computer Vision (ECCV) 2022
[PDF | Source code | Project Website | Poster | Video]
Keywords: 3D shape generation and manipulation
Maria Belotti, Yuting Deng, Wenlong Zhao, Victoria Simons, Zezhou Cheng, Gustavo Perez, Elske Tielens, Subhransu Maji, Daniel Sheldon, Jeffrey Kelly, Kyle Horton
Remote Sensing in Ecology and Conservation, 2022
[PDF]
Keywords: AI for ecology
Yuting Deng, Maria Belotti, Wenlong Zhao, Zezhou Cheng, Gustavo Perez, Elske Tielens, Victoria Simons, Daniel Sheldon, Subhransu Maji, Jeff Kelly, Kyle Horton
Global Change Biology, 2022 (impact factor: 13.21)
[PDF]
Keywords: AI for ecology
Oindrila Saha, Zezhou Cheng, Subhransu Maji
European Conference on Computer Vision (ECCV) 2022
[PDF | Source code | Project Website]
Keywords: Self-/Semi-/Weakly-supervised learning
Oindrila Saha, Zezhou Cheng, Subhransu Maji
Computer Vision and Pattern Recognition (CVPR), 2022.
[PDF | Source code | Project Website]
Keywords: Self-/Semi-/Weakly-supervised learning
Zezhou Cheng, Jong-Chyi Su, Subhransu Maji
IEEE International Conference on Computer Vision (ICCV), 2021.
[PDF | Source code | Project Website | arXiv | Poster | Supplementary]
Keywords: Self-/Semi-/Weakly-supervised learning
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification
Jong-Chyi Su, Zezhou Cheng, Subhransu Maji
Computer Vision and Pattern Recognition (CVPR), 2021, (Oral).
[PDF | Source code | arXiv | Poster]
Keywords: Self-/Semi-/Weakly-supervised learning
Zezhou Cheng, Saadia Gabriel, Pankaj Bhambhani, Daniel Sheldon, Subhransu Maji, Andrew Laughlin, David Winkler
Association for the Advancement of Artificial Intelligence (AAAI), 2020, (Oral)
[PDF | Source code | Project Website | arXiv | Supplementary]
Keywords: AI for ecology
Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon
Computer Vision and Pattern Recognition (CVPR), 2019.
[PDF | Source code | Project Website | arXiv | Poster | Supplementary ]
Keywords: Image restoration; Self-/Semi-/Weakly-supervised learning
Zezhou Cheng, Qingxiong Yang, and Bin Sheng
IEEE Transactions on Image Processing (TIP), 2017.
[PDF | Souce code | Project Website]
Keywords: Image restoration
Zezhou Cheng, Qingxiong Yang, and Bin Sheng
IEEE International Conference on Computer Vision (ICCV), 2015.
[PDF | Souce code | Colorized Images (view online)] (My undergraduate thesis)
Keywords: Image restoration
Services
Reviewer:
Conferences: NeurIPS/ ICCV / CVPR / AAAI / WACV / ICLR / ICML etc.
Journals: IJCV / TIP / TMM, etc.
Area Chair / Senior PC:
AAAI / IJCAI
Awards
Travel Award from Doctoral Consortium, CVPR 2023
Outstanding Reviewer, CVPR 2021
Outstanding Synthesis Award, UMass Amherst CICS, 2020 (top 2 synthesis)
AAAI-2020 Student Scholarship 2020
Best Poster Award at the New England Computer Vision Workshop held at Brown University 2019
UMass Amherst CICS Edward Riseman and Allen Hanson Scholarship 2018
National Scholarship, Ministry of Education, China 2016 (at Shanghai Jiao Tong University)
National Scholarship, Ministry of Education, China 2014 (at Sichuan University)
Media Coverage
Climate Change AI: Deep learning of nanoporous materials for chemical separations
UMass CICS Outstanding Synthesis: CICS Graduate Students Honored for Outstanding Synthesis Projects