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IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks


Apr 17, 2018
Guotian Xie, Jingdong Wang, Ting Zhang, Jianhuang Lai, Richang Hong, Guo-Jun Qi

* Accepted by CVPR 2018 

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Deep Differential Recurrent Neural Networks


Apr 11, 2018
Naifan Zhuang, The Duc Kieu, Guo-Jun Qi, Kien A. Hua


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Global versus Localized Generative Adversarial Nets


Mar 27, 2018
Guo-Jun Qi, Liheng Zhang, Hao Hu, Marzieh Edraki, Jingdong Wang, Xian-Sheng Hua

* Proceedings of of IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), Salt Lake City, Utah, June 18th - June 22nd, 2018 

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Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities


Mar 19, 2018
Guo-Jun Qi

* The source codes for both LS-GAN and GLS-GAN are available at \url{https://github.com/maple-research-lab}. LS-GAN is also supported by Microsoft CNTK at \url{https://www.cntk.ai/pythondocs/CNTK_206C_WGAN_LSGAN.html}. The original codes of LS-GAN and GLS-GAN are also available at https://github.com/guojunq/lsgan/ and https://github.com/guojunq/glsgan/ 

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Interleaved Group Convolutions for Deep Neural Networks


Jul 18, 2017
Ting Zhang, Guo-Jun Qi, Bin Xiao, Jingdong Wang

* To appear in ICCV 2017 

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Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition


Jun 03, 2017
Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Yan Song, Zechao Li, Liyan Zhang


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Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes


Mar 22, 2017
Guo-Jun Qi, Wei Liu, Charu Aggarwal, Thomas Huang

* The paper has been accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence. It will apear in a future issue 

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First-Take-All: Temporal Order-Preserving Hashing for 3D Action Videos


Jun 06, 2015
Jun Ye, Hao Hu, Kai Li, Guo-Jun Qi, Kien A. Hua

* 9 pages, 11 figures 

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Differential Recurrent Neural Networks for Action Recognition


Apr 25, 2015
Vivek Veeriah, Naifan Zhuang, Guo-Jun Qi


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Learning from Collective Intelligence in Groups


Oct 03, 2012
Guo-Jun Qi, Charu Aggarwal, Pierre Moulin, Thomas Huang


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