Li Shen (申丽)

lshen.lsh@gmail.com

I am Senior Researcher at Tencent AI Lab. Formerly I was a researcher in the Visual Geometry Group (VGG) at the University of Oxford, where I worked with Prof. Andrew Zisserman.

I received my PhD in Computer Science from the University of Chinese Academy of Sciences, under the supervision of Prof. Qingming Huang. I was also supervised by Prof. Zhouchen Lin at Peking University.
My research interests are in computer vision and deep learning.

Google Scholar

News

  • Recruiting researchers/engineers/research interns! Feel free to contact me.
  • We are organising Neural Architects Workshop at ICCV 2019.

    Neural Architects: What have we learned and where are we going? - for all things related to Deep Neural Network design.
    Call for papers and additional info can be found here.


Research

Squeeze-and-Excitation Networks
Jie Hu, Li Shen, Samuel Albanie, Gang Sun, and Enhua Wu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019.
This paper is an extension of prior work SENets.
Paper / ArXiv / Code & Model / Bibtex
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
Jie Hu*, Li Shen*, Samuel Albanie*, Gang Sun, and Andrea Vedaldi
Advances in Neural Information Processing Systems (NeurIPS), 2018.
Paper / ArXiv / Code & Model / Bibtex
Comparator Networks
Weidi Xie, Li Shen, and Andrew Zisserman
European Conference on Computer Vision (ECCV), 2018.
Paper / ArXiv / Bibtex
Squeeze-and-Excitation Networks
Jie Hu*, Li Shen*, and Gang Sun
Conference on Computer Vision and Pattern Recognition (CVPR), 2018 (Oral).
Winner at the ILSVRC 2017 Image Classification.
Paper / Code & Model / Bibtex
Vggface2: A dataset for recognising faces across pose and age
Qiong Cao, Li Shen, Weidi Xie, Omkar M. Parkhi, and Andrew Zisserman
Conference on Automatic Face & Gesture Recognition (FG), 2018 (Oral).
Paper / ArXiv / Code & Model / Project / Bibtex
Relay Backpropagation for Effective Learning of Deep Convolutional Neural Networks
Li Shen, Zhouchen Lin, and Qingming Huang
European conference on computer vision (ECCV), 2016.
Winner at the ILSVRC 2015 Scene Classification.
Paper / ArXiv / Model / Bibtex
Co-occurrence Feature Learning for Skeleton Based Action Recognition Using Regularized Deep LSTM Networks
Wentao Zhu, Cuiling Lan, Junliang Xing, Wenjun Zeng, Yanghao Li, Li Shen, and Xiaohui Xie
Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016.
Paper / ArXiv / Bibtex
Multi-Level Discriminative Dictionary Learning with Application to Large Scale Image Classification
Li Shen, Gang Sun, Qingming Huang, Shuhui Wang, Zhouchen Lin, and Enhua Wu
IEEE Transactions on Image Processing, 2015.
Paper / Bibtex
Adaptive Sharing for Image Classification
Li Shen, Gang Sun, Zhouchen Lin, Qingming Huang, and Enhua Wu
International Joint Conference on Artificial Intelligence (IJCAI), 2015.
Paper / Bibtex
Multi-Level Discriminative Dictionary Learning towards Hierarchical Visual Categorization
Li Shen, Shuhui Wang, Gang Sun, Shuqiang Jiang, and Qingming Huang
Conference on Computer Vision and Pattern Recognition (CVPR), 2013.
Paper / Bibtex


Academic Competitions




Last Update: July 1, 2019

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