Prof. Mike SHOU
mike.zheng.shou@gmail.com
Google Scholar
"Dream big; work hard"
"Attempt the impossible"
"Be yourself"
About
Research
Awards & Honors
Research
Generic Event Boundary Detection: A Benchmark for Event Segmentation.
Mike Zheng Shou
, Deepti Ghadiyaram, Weiyao Wang, Matt Feiszli.
Preprint, 2021.
[Paper]
Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization.
Junting Pan, Siyu Chen,
Mike Zheng Shou
, Jing Shao, Hongsheng Li.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
[Paper]
SF-Net: Single-Frame Supervision for Temporal Action Localization.
Fan Ma, Linchao Zhu, Yi Yang, Shengxin Zha, Gourab Kundu, Matt Feiszli,
Zheng Shou
.
European Conference on Computer Vision (
ECCV
), 2020. (
spotlight
) (acceptance rate
top 5%
)
[Paper]
Towards Train-Test Consistency for Semi-supervised Temporal Action Localization.
Xudong Lin,
Zheng Shou
, Shih-Fu Chang.
Preprint, 2020.
CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation.
Jiawei Ma*,
Zheng Shou*
, Alireza Zareian, Hassan Mansour, Anthony Vetro, Shih-Fu Chang. (* indicates equal contributions)
Preprint, 2019.
[Paper]
Tensor FISTA-Net for Real-Time Snapshot Compressive Imaging.
Xiaochen Han, Bo Wu,
Zheng Shou
, Xiao-Yang Liu, Yimeng Zhang, Linghe Kong.
Thirty-Fourth AAAI Conference on Artificial Intelligence (
AAAI
), 2020.
Deep Tensor ADMM-Net for Snapshot Compressive Imaging.
Jiawei Ma, Xiao-Yang Liu,
Zheng Shou
, Xin Yuan.
IEEE/CVF International Conference on Computer Vision (
ICCV
), 2019.
DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition.
Zheng Shou
, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan.
IEEE Conference on Computer Vision and Pattern Recognition (
CVPR
), 2019.
[Paper]
AutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos.
Zheng Shou
, Hang Gao, Lei Zhang, Kazuyuki Miyazawa, Shih-Fu Chang.
European Conference on Computer Vision (
ECCV
), 2018.
[Paper]
[Poster]
[Code]
Online Detection of Action Start in Untrimmed, Streaming Videos.
Zheng Shou*
, Junting Pan*, Jonathan Chan, Kazuyuki Miyazawa, Hassan Mansour, Anthony Vetro, Xavi GirĂ³-i-Nieto, Shih-Fu Chang. (* indicates equal contributions)
European Conference on Computer Vision (
ECCV
), 2018.
[Paper]
[Poster]
[Code]
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos.
Zheng Shou
, Jonathan Chan, Alireza Zareian, Kazuyuki Miyazawa, and Shih-Fu Chang.
IEEE Conference on Computer Vision and Pattern Recognition (
CVPR
), 2017. (
oral
presentation) (acceptance rate
2.65%
) (best student paper nomination)
[Paper]
[Code]
[Poster]
[Slides]
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs.
Zheng Shou
, Dongang Wang, and Shih-Fu Chang.
IEEE Conference on Computer Vision and Pattern Recognition (
CVPR
), 2016.
[Paper]
[Poster]
[Code]
[Slides]
Low-shot Learning via Covariance-Preserving Adversarial Augmentation Network.
Hang Gao,
Zheng Shou
, Alireza Zareian, Hanwang Zhang, and Shih-Fu Chang.
Thirty-second Conference on Neural Information Processing Systems (
NeurIPS
), 2018.
ConvNet Architecture Search for Spatiotemporal Feature Learning.
Du Tran, Jamie Ray,
Zheng Shou
, Shih-Fu Chang, Manohar Paluri.
[Paper]
[Code]
Undergraduate works
A discriminative tracklets representation for crowd analysis.
Chongjing Wang, Xu Zhao,
Zheng Shou
, Yi Zhou, and Yuncai Liu.
IEEE International Conference on Image Processing (ICIP), 2015.
A visually salient approach to recognize vehicles based on hierarchical architecture.
Qiaochu Liu, Ruoying Jia,
Zheng Shou
, Xiaoran Zhan, Birong Zhang.
IEEE International Conference on Multimedia and Expo (ICME), 2014.
A study of transformation-invariances of deep belief networks.
Zheng Shou
, Yuhao Zhang, and Hengjin Cai.
International Joint Conference on Neural Networks (IJCNN), 2013.
Key Designs in Implementing Online 3D Virtual Garment Try-On System.
Zheng Shou
, Binqiang Yu, Gang Chen, Hengjin Cai, and Qiaochu Liu.
International Symposium on Computational Intelligence and Design (ISCID), 2013.