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Improved Techniques for Model Inversion Attacks

Oct 09, 2020
Si Chen, Ruoxi Jia, Guo-Jun Qi


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K-Shot Contrastive Learning of Visual Features with Multiple Instance Augmentations

Jul 27, 2020
Haohang Xu, Hongkai Xiong, Guo-Jun Qi


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Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events

May 19, 2020
Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Guo-Jun Qi, Rui Qian, Tao Wang, Nicu Sebe, Ning Xu, Hongkai Xiong, Mubarak Shah

* Dataset for ACM MM'20 Grand Challenge on Large-scale Human-centric Video Analysis in Complex Events (http://humaninevents.org

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Spatial-Temporal Transformer Networks for Traffic Flow Forecasting

Jan 09, 2020
Mingxing Xu, Wenrui Dai, Chunmiao Liu, Xing Gao, Weiyao Lin, Guo-Jun Qi, Hongkai Xiong


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EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning

Nov 21, 2019
Xiao Wang, Daisuke Kihara, Jiebo Luo, Guo-Jun Qi

* 10 pages, 3 figures, conference 

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GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations

Nov 19, 2019
Xiang Gao, Wei Hu, Guo-Jun Qi


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AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups

Nov 16, 2019
Feng Lin, Haohang Xu, Houqiang Li, Hongkai Xiong, Guo-Jun Qi


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Progressive Unsupervised Person Re-identification by Tracklet Association with Spatio-Temporal Regularization

Oct 25, 2019
Qiaokang Xie, Wengang Zhou, Guo-Jun Qi, Qi Tian, Houqiang Li

* 12 pages, 10 figures 

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Spatiotemporal Co-attention Recurrent Neural Networks for Human-Skeleton Motion Prediction

Oct 01, 2019
Xiangbo Shu, Liyan Zhang, Guo-Jun Qi, Wei Liu, Jinhui Tang


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PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

Jul 12, 2019
Yuhui Xu, Lingxi Xie, Xiaopeng Zhang, Xin Chen, Guo-Jun Qi, Qi Tian, Hongkai Xiong

* 10 pages,Code is available: https://github.com/yuhuixu1993/PC-DARTS 

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Learning Generalized Transformation Equivariant Representations via Autoencoding Transformations

Jun 19, 2019
Guo-Jun Qi

* arXiv admin note: text overlap with arXiv:1903.10863 

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Differential Recurrent Neural Network and its Application for Human Activity Recognition

May 09, 2019
Naifan Zhuang, Guo-Jun Qi, The Duc Kieu, Kien A. Hua

* arXiv admin note: substantial text overlap with arXiv:1504.06678, arXiv:1804.04192 

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AVT: Unsupervised Learning of Transformation Equivariant Representations by Autoencoding Variational Transformations

Apr 01, 2019
Guo-Jun Qi, Liheng Zhang, Chang Wen Chen, Qi Tian

* http://maple-lab.net/projects/AVT.htm. arXiv admin note: text overlap with arXiv:1901.04596 

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Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods

Mar 27, 2019
Guo-Jun Qi, Jiebo Luo


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Learning to Adaptively Scale Recurrent Neural Networks

Feb 15, 2019
Hao Hu, Liqiang Wang, Guo-Jun Qi


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AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data

Jan 14, 2019
Liheng Zhang, Guo-Jun Qi, Liqiang Wang, Jiebo Luo


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Deep Semantic Multimodal Hashing Network for Scalable Multimedia Retrieval

Jan 09, 2019
Lu Jin, Jinhui Tang, Zechao Li, Guo-Jun Qi, Fu Xiao

* 13 pages 

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Hierarchical Long Short-Term Concurrent Memory for Human Interaction Recognition

Nov 01, 2018
Xiangbo Shu, Jinhui Tang, Guo-Jun Qi, Wei Liu, Jian Yang


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CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces

Oct 20, 2018
Liheng Zhang, Marzieh Edraki, Guo-Jun Qi

* Liheng Zhang, Marzieh Edraki, Guo-Jun Qi. CapProNet: Deep Feature Learning via Orthogonal Projections onto Capsule Subspaces, in Proccedings of Thirty-second Conference on Neural Information Processing Systems (NIPS 2018), Palais des Congr\`es de Montr\'eal, Montr\'eal, Canda, December 3-8, 2018 

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Sharp Attention Network via Adaptive Sampling for Person Re-identification

Sep 26, 2018
Chen Shen, Guo-Jun Qi, Rongxin Jiang, Zhongming Jin, Hongwei Yong, Yaowu Chen, Xian-Sheng Hua

* accepted by IEEE Transactions on Circuits and Systems for Video Technology(T-CSVT) 

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A Study of Question Effectiveness Using Reddit "Ask Me Anything" Threads

May 25, 2018
Kristjan Arumae, Guo-Jun Qi, Fei Liu

* 6 pages 

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Task-Agnostic Meta-Learning for Few-shot Learning

May 20, 2018
Muhammad Abdullah Jamal, Guo-Jun Qi, Mubarak Shah


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Deep Ordinal Hashing with Spatial Attention

May 07, 2018
Lu Jin, Xiangbo Shu, Kai Li, Zechao Li, Guo-Jun Qi, Jinhui Tang


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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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