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SelfDoc: Self-Supervised Document Representation Learning


Jun 07, 2021
Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu

* To appear in CVPR'2021 

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Multimodal Contrastive Training for Visual Representation Learning


Apr 26, 2021
Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta


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Scaling Object Detection by Transferring Classification Weights


Sep 15, 2019
Jason Kuen, Federico Perazzi, Zhe Lin, Jianming Zhang, Yap-Peng Tan

* ICCV 2019 

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Dual Attention Matching Network for Context-Aware Feature Sequence based Person Re-Identification


Mar 27, 2018
Jianlou Si, Honggang Zhang, Chun-Guang Li, Jason Kuen, Xiangfei Kong, Alex C. Kot, Gang Wang

* 10 pages, 8 figures, 7 tables, accepted by CVPR 2018 

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Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks


Jan 29, 2018
Jason Kuen, Xiangfei Kong, Zhe Lin, Gang Wang, Jianxiong Yin, Simon See, Yap-Peng Tan


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Recent Advances in Convolutional Neural Networks


Oct 19, 2017
Jiuxiang Gu, Zhenhua Wang, Jason Kuen, Lianyang Ma, Amir Shahroudy, Bing Shuai, Ting Liu, Xingxing Wang, Li Wang, Gang Wang, Jianfei Cai, Tsuhan Chen

* Pattern Recognition, Elsevier 

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DelugeNets: Deep Networks with Efficient and Flexible Cross-layer Information Inflows


Aug 23, 2017
Jason Kuen, Xiangfei Kong, Gang Wang, Yap-Peng Tan

* Code: https://github.com/xternalz/DelugeNets 

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Self-taught learning of a deep invariant representation for visual tracking via temporal slowness principle


Apr 14, 2016
Jason Kuen, Kian Ming Lim, Chin Poo Lee

* Pattern Recognition (Elsevier), 2015 

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Recurrent Attentional Networks for Saliency Detection


Apr 12, 2016
Jason Kuen, Zhenhua Wang, Gang Wang

* CVPR 2016 

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