Guo-Jun Qi

IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks

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

Figure 2 for IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks

Figure 3 for IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks

Figure 4 for IGCV$2$: Interleaved Structured Sparse Convolutional Neural Networks

* Accepted by CVPR 2018

Access Paper or Ask Questions

Deep Differential Recurrent Neural Networks

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

Figure 2 for Deep Differential Recurrent Neural Networks

Figure 3 for Deep Differential Recurrent Neural Networks

Figure 4 for Deep Differential Recurrent Neural Networks

Access Paper or Ask Questions

Global versus Localized Generative Adversarial Nets

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

Figure 2 for Global versus Localized Generative Adversarial Nets

Figure 3 for Global versus Localized Generative Adversarial Nets

Figure 4 for Global versus Localized Generative Adversarial Nets

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

Access Paper or Ask Questions

Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities

Mar 19, 2018
Guo-Jun Qi

Figure 2 for Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities

Figure 3 for Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities

Figure 4 for Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities

* 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/

Access Paper or Ask Questions

Interleaved Group Convolutions for Deep Neural Networks

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

Figure 2 for Interleaved Group Convolutions for Deep Neural Networks

Figure 3 for Interleaved Group Convolutions for Deep Neural Networks

Figure 4 for Interleaved Group Convolutions for Deep Neural Networks

* To appear in ICCV 2017

Access Paper or Ask Questions

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

Figure 2 for Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition

Figure 3 for Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition

Figure 4 for Concurrence-Aware Long Short-Term Sub-Memories for Person-Person Action Recognition

Access Paper or Ask Questions

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

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

Figure 2 for Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes

Figure 3 for Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes

Figure 4 for Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes

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

Access Paper or Ask Questions