About me
Zhaohui Zheng received the M.S. degree in computational mathematics from Tianjin University in 2021, supervised by Prof. Ping Wang. He is currently a Ph.D. candidate at Media Computing Lab, Nankai University, supervised by Prof. Ming-Ming Cheng and co-supervised by Asso. Prof. Qibin Hou. His research interests include object detection, instance segmentation, and knowledge distillation. He received the CCF-CV Academic Emerging Scholar Award in 2023.
Education
2014 - 2018: Applied mathematics - Zhengzhou University, Zhengzhou, China
2018 - 2021: Computational mathematics - Tianjin University, Tianjin, China
2021 - 2025: Computer science - Nankai University, Tianjin, China
Research Interests
My research interests are object detection, instance segmentation, and knowledge distillation.
Specific directions: Loss function, Non-maximum suppression, Label assignment, Evaluation, Head network, and knowledge distillation in object detection.
See my recent publications for more details.
News
- One paper accepted by T-PAMI’24
- One paper accepted by CVPR’24
- I received the CCF-CV Academic Emerging Scholar Award in 2023.
- One paper accepted by ICCV’23
- One paper accepted by T-PAMI’23
- One paper accepted by CVPR’22
- One paper accepted by T-CYB’22
- One paper accepted by AAAI’20
Collaborator
- Ming-Ming Cheng, Nankai University
- Qibin Hou, Nankai University
- Xiang Li, Nankai University
- Chenyu Ming, Nankai University
- Jiabao Wang, Nankai University
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Yuxuan Li, Nankai University
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Jian Yang, Nanjing University of Science and Technology
- Wangmeng Zuo, Harbin Institute of Technology
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Dongwei Ren, Harbin Institute of Technology
- Qinghua Hu, Tianjin University
- Ping Wang, Tianjin University
- Rongguang Ye, Tianjin University
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Wei Liu, Tianjin University
- Jinze Li, People’s Public Security University of China
Journal Publications (Google Scholar)
“*” means authors contributed equally and “#” means corresponding author.
Zone Evaluation: Revealing Spatial Bias in Object Detection
Zhaohui Zheng, Yuming Chen, Qibin Hou#, Xiang Li, Ping Wang, Ming-Ming Cheng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Localization distillation for object detection
Zhaohui Zheng, Rongguang Ye, Qibin Hou#, Dongwei Ren, Ping Wang, Wangmeng Zuo, Ming-Ming Cheng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Enhancing geometric factors in model learning and inference for object detection and instance segmentation
Zhaohui Zheng, Ping Wang, Dongwei Ren#, Wei Liu, Rongguang Ye, Qinghua Hu, Wangmeng Zuo
IEEE Transactions on Cybernetics (TCYB), 2022
Conference Publications (Google Scholar)
Distance-IoU loss: Faster and better learning for bounding box regression
Zhaohui Zheng, Ping Wang, Wei Liu, Jinze Li, Rongguang Ye, Dongwei Ren#
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020
[Arxiv] [Code] Most influential AAAI 2020 paper, Top-2 [Paper digest]
Localization distillation for dense object detection
Zhaohui Zheng*, Rongguang Ye*, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou#, Ming-Ming Cheng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
CrossKD: Cross-Head Knowledge Distillation for Dense Object Detection
Jiabao Wang*, Yuming Chen*, Zhaohui Zheng, Xiang Li, Ming-Ming Cheng, Qibin Hou#
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Large selective kernel network for remote sensing object detection
Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang#, Xiang Li#
IEEE International Conference on Computer Vision (ICCV), 2023
Preprint
Academic Services
- Reviewers for TPAMI/CVPR/NeurIPS/ICML/ICLR etc.
Honors and Awards
- CCF-CV Academic Emerging Scholar Award, 2023.