Mr.Xiong Yuanjun - 熊元骏

Currently working in a startup.


Seattle, Washington, U.S.

yjxiong at ie.cuhk.edu.hk

Mr. Xiong Yuanjun is currently working in a startup on artificial intelligence. He worked as a principal scientist at Amazon Rekognition from 2017 to 2021. He was previously a postdoctoral fellow in department of information engineering, CUHK, working closely with Prof. Lin Dahua and Prof. Tang Xiaoou. Yuanjun received his Ph.D. from the department of information engineering at CUHK in 2016 and B.Eng from department of automation at Tsinghua University in 2012.

[Detailed CV] [Google Scholar] [Github: yjxiong]

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Selected Publications


Yue Zhao, Yantao Shen, Yuanjun Xiong, Shuo Yang, Wei Xia, Zhuowen Tu, Bernt Schiele, Stefano Soatto, ELODI: Ensemble Logit Difference Inhibition for Positive-Congruent Training, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2024. [Preprint]

Zeyi Sun, Ye Fang, Tong Wu, Pan Zhang, Yuhang Zang, Shu Kong, Yuanjun Xiong, Dahua Lin, Jiaqi Wang, Alpha-CLIP: A CLIP Model Focusing on Wherever You Want, Computer Vision and Pattern Recognition, (CVPR), 2024. [Preprint]

Jiarui Cai, Mingze Xu, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto, MeMOT: Multi-Object Tracking with Memory, Computer Vision and Pattern Recognition, (CVPR), 2022. [Paper]

Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, Stefano Soatto, Long short-term transformer for online action detection, Advances on Neural Information Processing (NeurIPS), 2021. [Paper]

Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto, Compatibility-Aware Heterogeneous Visual Search, Computer Vision and Pattern Recognition (CVPR), 2021. [Preprint]

Sijie Yan, Yuanjun Xiong, Kaustav Kundu, Shuo Yang, Siqi Deng, Meng Wang, Wei Xia, Stefano Soatto, Positive-Congruent Training: Towards Regression-Free Model Updates, Computer Vision and Pattern Recognition (CVPR), 2021. [Preprint]

Haodong Duan, Yue Zhao, Yuanjun Xiong, Wentao Liu, Dahua Lin, Omni-sourced Webly-supervised Learning for Video Recognition, European Conference on Computer Vision (ECCV), Edinburg, 2020. [Preprint]

Jingbo Wang, Sijie Yan, Yuanjun Xiong, Dahua Lin, Motion Guided 3D Pose Estimation from Videos, European Conference on Computer Vision, (ECCV), Edinburg, 2020. [Preprint]

Guha Balakrishnan, Yuanjun Xiong, Wei Xia, Pietro Perona, Towards causal Benchmarking of Bias in Face Analysis Algorithms, European Conference on Computer Vision (ECCV), Edinburg, 2020. [Preprint]

Yantao Shen, Yuanjun Xiong, Wei Xia, Stefano Soatto, Towards Backward Compatible Representation Learning, Computer Vision and Pattern Recognition (CVPR), Seattle, U.S., 2020. [PDF][Code][Press Coverage]

Sijie Yan, Zhizhong Li, Yuanjun Xiong, Dahua Lin, Convolutional Sequence Generation for Skeleton-Based Action Synthesis, IEEE International Conference on Computer Vision (ICCV), 2019, Seoul, South Korea, 2019. [PDF][Code][Demo Video][Web Demo][MMD Dataset]

Brais Martínez, Davide Modolo, Yuanjun Xiong, Joseph Tighe, Action Recognition with Spatial-Temporal Discriminative Filter Banks, IEEE International Conference on Computer Vision (ICCV), 2019, Seoul, South Korea, 2019. [PDF]

Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Dahua Lin, and Xiaoou Tang, Temporal Action Detection with Structure Segment Networks, International Journal of Computer Vision (IJCV). [PDF][Code & Models][Project Page]

Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool, Temporal Segment Networks for Action Recognition in Videos, IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), 2018. [PDF]

Yue Zhao, Yuanjun Xiong, Dahua Lin, Trajectory Convolution for Action Recognition, Neural Information Processing Systems (NeurIPS), Montreal, Canada, 2018. [PDF][Poster][Code]

Yue Zhao, Yuanjun Xiong, Dahua Lin, Recognizing Actions by Disentangling Components of Dynamics, Computer Vision and Pattern Recognition (CVPR), Salt Lake City, U.S., 2018. [PDF]

Zhirong Wu, Yuanjun Xiong, Stella Yu, Dahua Lin, Unsupervised Feature Learning via Non-parametric Instance-level Discrimination, Computer Vision and Pattern Recognition (CVPR), Salt Lake City, U.S., 2018. [PDF] [Code & Models]

Kai Chen, Jiaqi Wang, Shuo Yang, Xingcheng Zhang, Yuanjun Xiong,Chen Change Loy, Dahua Lin, Optimizing Video Object Detection via a Scale-Time Lattice, Computer Vision and Pattern Recognition (CVPR), Salt Lake City, U.S., 2018. [PDF]

Sijie Yan, Yuanjun Xiong, and Dahua Lin, Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition, The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orlean, U.S., 2018. [PDF][Code & Models]

Yue Zhao, Yuanjun Xiong, Limin Wang, Zhirong Wu, Dahua Lin, and Xiaoou Tang, Temporal Action Detection with Structure Segment Networks, IEEE International Conference on Computer Vision (ICCV), Venice, Italy, 2017. [PDF][Code & Models][Project Page]

Limin Wang, Yuanjun Xiong, Dahua Lin, and Luc Van Gool, UntrimmedNets for Weakly Supervised Action Recognition and Detection, Computer Vision and Pattern Recognition (CVPR), Hawaii, U.S., 2017. [PDF][Code & Models]

Limin Wang, Sheng Guo, Weilin Huang, Yuanjun Xiong, Yu Qiao, Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs, IEEE Transactions on Image Processing (TIP), 2017. [PDF]

Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool, Temporal Segment Networks: Towards Good Practices for Deep Action Recognition, European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, 2016. [PDF][Supplementary] [Code & Models][Project Page]

Yuanjun Xiong, Kai Zhu, Dahua Lin, and Xiaoou Tang, Recognize Complex Events from Static Images by Fusing Deep Channels, Computer Vision and Pattern Recognition (CVPR), Boston, U.S., 2015. [PDF][Supplementary] [Dataset]

Yuanjun Xiong, Wei Liu, Deli Zhao, and Xiaoou Tang. Zeta Hull Pursuits: Learning Nonconvex Data Hulls, Advances in Neural Information Processing System (NIPS 27), Montreal, Canada, 2014. [PDF][Supplementary]

Yuanjun Xiong, Wei Liu, Deli Zhao, and Xiaoou Tang. Face Recognition via Archetype Hull Ranking, IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 2013.[PDF]

Thesis

Visual Understanding by Learning from Multiple Data Aspects, Yuanjun Xiong, PhD Thesis, The Chinese University of Hong Kong, 2016.

Courses and Projects

CSCI5280 Image Processing and Computer Vision

Teaching

ENGG-1100 Introduction to Engineering Design - Teaching Assistant

Yuanjun's Blog

Yuanjun is now running a blog recording his research and life stuffs.

bitxiong(吐露山熊)

Other Links

Yuanjun's Github

Technical Resources

MMLAB 香港中文大學多媒體實驗室

The Chinese University of Hong Kong 香港中文大學

ICCV 2021 Tutorial on Cross-Model Compatibility

Last modified: Dec. 2023.

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