News
2023.01 One paper accepted to ICLR 2023, and one paper accepted by TPAMI 2023
2022.08 Two papers accepted by TIP 2022.
2022.07 Three papers accepted to ECCV 2022.
2022.05 One paper accepted to ICML 2022.
2022.03 Two papers accepted to CVPR 2022.
2022.01 One paper accepted to ICLR 2022.
2021.07 Four papers accepted to ICCV 2021, and one paper accepted to AAAI 2022.
2021.06 One paper accepted to ACM MM 2021.
2021.04 Our light ReID framework YouReID is available, which implements our state-of-the-art ReID algorithms. 
2021.04 One paper accepted to IJCAI 2021.
2021.03 Three papers accepted to CVPR 2021, and one paper accepted to ICLR 2021.
2021.01 Our ReID project has been merged into OpenCV!
2020.12 Two papers accepted to AAAI 2021.
2020.09 One paper accepted to NeurIPS 2020.
2020.07 One paper accepted to ECCV 2020, and one paper accepted to ACM MM 2020.
2020.02 One paper accepted to CVPR 2020.
2019.11 Three papers accepted to AAAI 2020.
2019.10 One paper accepted by TPAMI 2020.
2019.03 One paper accepted to CVPR 2019.
Short Bio
Xing Sun (孙星) is currently a Principal researcher and Team Manager in Tencent YoutuLab. He received his Ph.D. degree fromThe University of Hong Kong in 2016, under the supervision of Prof. Edmund Y. Lam in Imaging Systems Laboratory, and Dr. Nelson Yung in Laboratory for Intelligent Transportation Systems Research. He received his B.S. degree at Nanjing University of Science and Technology in Jun. 2012. He finished my bachelor dissertation in Lehrstuhl für Hochfrequenztechnik from Technische Universität München in Spring, 2012.
Academic Activities
- Senior PC member: IJCAI 2021, AAAI 2022
- Conference reviewer: CVPR, ICCV, NeurIPS, ICLR, ACM MM, AAAI, IJCAI etc
Research Topics
Resource-Restricted AI
including Weakly/Self-supervised Learning, Efficient Model, Transfer Learning etc
Behavior analysis
including Human analysis, Action analysis, Video analysis etc
(* Corresponding + Equal contribution)
Preprint
38. RMNet: Equivalently Removing Residual Connection from Networks
Fanxu Meng, Hao Cheng, Jiaxin Zhuang, Ke Li, and Xing Sun*
Arxiv Tech Report, 2021.
Code is available!
37. Demystifying How Self-Supervised Features Improve Training from Noisy Labels
Hao Cheng, Zhaowei Zhu, Xing Sun, Yang Liu
Arxiv Tech Report, 2021.
Code is available!
36. Reciprocal Normalization for Domain Adaptation
Zhiyong Huang, Kekai Sheng, Ke Li, Jian Liang, Taiping Yao, Weiming Dong, Dengwen Zhou, and Xing Sun*
Arxiv Tech Report, 2021.
35. On The Consistency Training for Open-Set Semi-Supervised Learning
Huixiang Luo, Hao Cheng, Yuting Gao, Ke Li, Mengdan Zhang, Fanxu Meng, Xiaowei Guo, Feiyue Huang and Xing Sun*
Arxiv Tech Report, 2021.
34. On Evolving Attention Towards Domain Adaptation
Kekai Sheng, Ke Li, Xiawu Zheng, Jian Liang, WeiMing Dong, Feiyue Huang, Rongrong Ji, and Xing Sun*
Arxiv Tech Report, 2021.
2023
33. Co-Salient Object Detection with Co-Representation Purification
Ziyue Zhu, Zhao Zhang, Zheng Lin, Xing Sun, Ming-Ming Cheng
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
Code is available!
32.
Mitigating Memorization of Noisy Labels via Regularization between Representations
Hao Cheng, Zhaowei Zhu, Xing Sun and Yang Liu
International Conference on Learning Representations (ICLR), 2023.
2022
31. Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search
Chenyang Gao, Guanyu Cai, Xinyang Jiang, Feng Zheng, Jun Zhang, Yifei Gong and Xing Sun*
IEEE Transactions on Image Processing (TIP), 2022.
Ranked #1 on Text based Person Retrieval on CUHK-PEDES！
Code is available!
30. Devil's in the Detail: Aligning Visual Clues for Conditional Embedding in Person Re-Identification
Fufu Yu, Xinyang Jiang, Yifei Gong, Shizhen Zhao, Wei-Shi Zheng, Feng Zheng and Xing Sun*
IEEE Transactions on Image Processing (TIP), 2022.
Code is available!
29. PAC-Net: Highlight Your Video via History Preference Modeling
Hang Wang, Penghao Zhou, Chong Zhou, Zhao Zhang, Xing Sun*
European Conference on Computer Vision (ECCV), 2022.
28. Efficient Decoder-free Object Detection with Transformers
Peixian Chen, Mengdan Zhang, Yunhang Shen, Kekai Sheng, Yuting Gao,Xing Sun, Ke Li, Chunhua Shen
European Conference on Computer Vision (ECCV), 2022.
Code is available!
27. DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning
Yuting Gao, Jia-Xin Zhuang, Shaohui Lin, Hao Cheng, Xing Sun , Ke Li, Chunhua Shen
European Conference on Computer Vision (ECCV), 2022. (Oral)
Code is available!
26. Self-supervised Models are Good Teaching Assistants for Vision Transformers
Haiyan Wu, Yuting Gao, Ke Li, Yinqi Zhang, Shaohui Lin, Yuan Xie, Xing Sun
IEEE Conference on Machine Learning (ICML), 2022.
25. DIFNet: Boosting Visual Information Flow for Image Captioning
Mingrui Wu,Xuying Zhang, Xiaoshuai Sun, Yiyi Zhou, Chao Chen, Jiaxin Gu, Xing Sun, Rongrong Ji
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
24. Training-free Transformer Architecture Search
Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun , Yonghong Tian, Jie Chen, Rongrong Ji
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
23. AS-MLP: An Axial Shifted MLP Architecture for Vision
Dongze Lian, Zehao Yu, Xing Sun, Shenghua Gao
International Conference on Learning Representations (ICLR), 2022.
Code is available!
22. Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li, Weiming Dong, Liqing Zhang, Changsheng Xu, Xing Sun*
The AAAI Conference on Artificial Intelligence (AAAI), 2022.
2021
21. Learning Spatially-Aware Canonical View Representation for 3D Shape Recognition with Arbitrary Views
Xin Wei, Yifei Gong, Fudong Wang，Xing Sun*, Jian Sun
International Conference on Computer Vision (ICCV), 2021.
20. Learning to Know Where to See: A Visibility-Aware Approach for Occluded Person Re-identification
Jinrui Yang, Jiawei Zhang, Fufu Yu, Xinyang Jiang, mengdan zhang, Xing Sun*, Yingcong Chen, Weishi Zheng
International Conference on Computer Vision (ICCV), 2021.
19. PR-Net: Preference Reasoning for Personalized Video Highlight Detection
Runnan Chen, Penghao Zhou, Wenzhe Wang, Nenglun Chen, Pai Peng, Xing Sun* and Wenping Wang
International Conference on Computer Vision (ICCV), 2021.
18. Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query
Guanyu Cai, Xinyang Jiang, Jun Zhang, Yifei Gong, Lianghua He, Pai Peng, Xiaowei Guo and Xing Sun*
International Conference on Computer Vision (ICCV), 2021.
Code is available!
17. Discriminator-free Generative Adversarial Attack
Shaohao Lu, Yuqiao Xian, Ke Yan, Yi Hu, Xing Sun , Xiaowei Guo, Feiyue Huang, Weishi Zheng
ACM Multimedia (MM), 2021.
Code is available!
16. Dig into Multi-modal Cues for Video Retrieval with Hierarchical Alignment
Wenzhe Wang, Penghao Zhou, Runnan Chen, Mengdan Zhang, Guanyu Cai, Pai Peng, Xiaowei Guo, Jian Wu, Xing Sun*
International Joint Conference on Artificial Intelligence (IJCAI), 2021.
15. Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning
Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J Ma and Xing Sun*
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Code is available!
14. Learning 3D Shape Feature for Texture-insensitive Person Re-identification
Jiaxing Chen, Xinyang Jiang, Fudong Wang, Jun Zhang, Feng Zheng, Xing Sun, Weishi Zheng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Code is coming soon!
13. Temporal Modulation Network for Controllable Space-Time Video Super-Resolution
Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Code is available!
12. Learning with Instance-Dependent Label Noise: A Sample Sieve Approach
Hao Cheng, Zhaowei Zhu, Xingyu Li, Yifei Gong, Xing Sun, Yang Liu
International Conference on Learning Representations (ICLR), 2021.
Code is available!
11. One for More: Selecting Generalizable Samples for Generalizable ReID Model
Enwei Zhang,Xinyang Jiang,Hao Cheng,Ancong Wu, Ke Li,Xiaowei Guo,Feng Zheng,Weishi Zheng and Xing Sun*
The AAAI Conference on Artificial Intelligence (AAAI), 2021.
Code is coming soon!
10. Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion
Jinpeng Wang, Yuting Gao, Ke Li, Xinyang Jiang, Xiaowei Guo, Rongrong Ji and Xing Sun*
The AAAI Conference on Artificial Intelligence (AAAI), 2021.
Code is available!
9. High-dimensional dense residual convolutional neural network for light field reconstruction
Nan Meng, Hayden Kwok-Hay So, Xing Sun and Edmund Lam
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.
Code is available!
2020
8.
Pruning Filter in Filter
Fanxu Meng, Hao Cheng, Ke Li, Huixiang Luo, Xiaowei Guo, Guangming Lu and Xing Sun*
Neural Information Processing Systems (NeurIPS), 2020.
Code is available!
7.
Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians
Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, XW Guo, WS Zheng, Nong Sang, Xing Sun
European Conference on Computer Vision (ECCV), 2020.
Code is available!
6.
NOH-NMS: Improving Pedestrian Detection by Nearby Objects Hallucination
Penghao Zhou, Chong Zhou, Pai Peng, Junlong Du, Xing Sun, Xiaowei Guo, Feiyue Huang
ACM Multimedia (MM), 2020.
Code is available!
5. Filter Grafting for Deep Neural Networks
Fanxu Meng+ , Hao Cheng+ , Ke Li, Zhixin Xu, Rongrong Ji, Xing Sun and Guangming Lu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
Code is available!
4. Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification
Fengxiang Yang, Ke Li, Zhun Zhong, Zhiming Luo, Xing Sun*, Hao Cheng, Xiaowei Guo, Feiyue Huang, Rongrong Ji, Shaozi Li
The AAAI Conference on Artificial Intelligence (AAAI), 2020.
Code is available!
3. Aware Loss with Angular Regularization for Person Re-Identification
Zhihui Zhu, Xinyang Jiang, Feng Zheng, Xiaowei Guo, Feiyue Huang, Xing Sun*, Weishi Zheng
The AAAI Conference on Artificial Intelligence (AAAI), 2020.
Code is coming soon!
2. Rethinking Temporal Fusion for Video-Based Person Re-Identification on Semantic and Time Aspect
Xinyang Jiang, Yifei Gong, Xiaowei Guo, Qize Yang, Feiyue Huang, Weishi Zheng, Feng Zheng and Xing Sun*
The AAAI Conference on Artificial Intelligence (AAAI), 2020.(Oral)
Code is available!
2019
1. Pyramidal Person Re-IDentification via Multi-Loss Dynamic Training
Feng Zheng, Cheng Deng, Xing Sun* , Xinyang Jiang, Zongqiao Yu, Feiyue Huang, Xiaowei Guo and Rongrong Ji
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Code is available!
Competition
- 1st place in CrowdHuman 2020
