Cong Wu
About Me
I’m currently a Lecturer at the School of Artificial Intelligence and Computer Science, Jiangnan University. I received my Ph.D. degree from Jiangnan University in 2024 under the supervision of Prof. Xiao-Jun Wu and Prof. Josef Kittler, and Bachelor degree from Jiangnan University in 2018. I was a visiting Ph.D. student at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, Guildford, United Kingdom, from 2022 to 2023.
The focus of my works is on deep learning approaches for Action Understanding. Particularly, I have focused on Video Understanding, Vision-Language Modeling, Representation Learning.
News
- [Sep. 2024] We won the second place in Temporal sound localisation of ECCV 2024 Perception Test Challenge! Congrats, Linze.
- [Jul. 2024] Our paper about Few-Shot Action Recognition is accepted to ECCV 2024!
- [Dec. 2023] Our paper about Self-Superivised 3D Human Action Recognition is accepted to AAAI 2024!
Publication
- Jiannan Hu, Cong Wu, Tianyang Xu, Xiao-Jun Wu, Josef Kittler. Spatio-Temporal Domain-Aware Network for Skeleton-Based Action Representation Learning. International Conference on Pattern Recognition, 2024.
- Cong Wu, Xiao-Jun Wu, Linze Li, Tianyang Xu, Zhenhua Feng, Josef Kittler. Efficient Few-Shot Action Recognition via Multi-level Post-reasoning. European Conference on Computer Vision, 2024. code
- Cong Wu, Xiao-Jun Wu, Josef Kittler, Tianyang Xu, Sara Ahmed, Muhammad Awais, Zhenhua Feng. Scd-net: Spatiotemporal clues disentanglement network for self-supervised skeleton-based action recognition. Proceedings of the AAAI conference on artificial intelligence, 2024. code
- Cong Wu, Xiao-Jun Wu, Tianyang Xu, Josef Kittler. Scene adaptive mechanism for action recognition. Computer Vision and Image Understanding, 2024. code
- Cong Wu, Xiao-Jun Wu, Tianyang Xu, Zhongwei Shen, Josef Kittler. Motion complement and temporal multifocusing for skeleton-based action recognition. IEEE transactions on circuits and systems for video technology, 2024. code
- Zhongwei Shen, Xiao-Jun Wu, Hui Li, Tianyang Xu, Cong Wu. I know how you move: Explicit motion estimation for human action recognition. IEEE Transactions on Multimedia, 2022. code
- Rong-Chang Li, Xiao-Jun Wu, Cong Wu, Tian-Yang Xu, Josef Kittler. Dynamic information enhancement for video classification. Image and Vision Computing, 2021. code
- Cong Wu, Xiao-Jun Wu, Josef Kittler. Graph2Net: Perceptually-Enriched Graph Learning for Skeleton-Based Action Recognition. IEEE Transactions on Circuits and Systems for Video Technology, 2021. code
- Cong Wu, Xiao-Jun Wu, Josef Kittler. Spatial residual layer and dense connection block enhanced spatial temporal graph convolutional network for skeleton-based action recognition. proceedings of the IEEE/CVF international conference on computer vision workshops, 2019.
Awards
- 1st-Place, Multi-Modal Video Reasoning and Analyzing Competition-Skeleton-based Action Recognition (ICCV 2021)
- 1st-Place, Multi-Modal Video Reasoning and Analyzing Competition-Fisheye Video-based Action Recognition (ICCV 2021)
- 2nd-Place, AI City Challenge-Naturalistic Driving Action Recognition (CVPR 2023)
- 2nd-Place, Multi-Modal Video Reasoning and Analyzing Competition-Person Reidentification (ICME 2024)
- 2nd-Place, Multi-Modal Video Reasoning and Analyzing Competition-Skeleton-based Action Recognition (ICME 2024)
- 2nd-Place, The Second Perception Test Challenge-Temporal Sound Localisation (ECCV 2024)
Education
- 2020.09-2024.06, Ph.D., Control Science and Engineering, Jiangnan University, China
- 2022.09-2023.09, Visiting Ph.D., University of Surrey, United Kingdom
- 2018.09-2020.06, M.E., Computer Science and Technology, Jiangnan University, China
- 2014.09-2018.06, B.S., Information and Computing Science, Jiangnan University, China
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