Research

    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%)

    Towards Train-Test Consistency for Semi-supervised Temporal Action Localization.

    Xudong Lin, Zheng Shou, Shih-Fu Chang.
    Preprint, 2020.

    Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization.

    Junting Pan, Siyu Chen, Hongsheng Li, Zheng Shou, Jing Shao.
    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.

    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.

    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.

    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.

    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)

    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.

    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.

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.