Our Publications

Journal Papers

  • Xiaobai Liu, Qian Xu, Thuan Chau, Yadong Mu, Lei Zhu, Shuicheng Yan. "Revisiting Jump-Diffusion Process for Visual Tracking: A Reinforcement Learning Approach", in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018.

  • Yan Zhang, Zhao Zhang, Sheng Li, Jie Qin, Guangcan Liu, Meng Wang, Shuicheng Yan. "Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation", in IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018.

  • Canyi Lu, Jiashi Feng, Shuicheng Yan, Zhouchen Lin. "A Unified Alternating Direction Method of Multipliers by Majorization Minimization", in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 40 (3), 527-541, 2018.

  • Changzhi Luo, Li Zhetao, Kaizhu Huang, Jiashi Feng, Meng Wang. "Zero-Shot Learning via Attribute Regression and Class Prototype Rectification", in IEEE Transactions on Image Processing (TIP), 27 (2), 637-648, 2018.

  • Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas Huang. "Subspace Learning by L0 Induced Sparsity", in International Journal of Computer Vision (IJCV), 2018.

  • Xi Peng, Jiashi Feng, Shijie Xiao, Wei-Yun Yau, Joey Tianyi Zhou, Songfan Yang. "Structured Autoencoders for Subspace Clustering", in IEEE Transactions on Image Processing (TIP), 27 (10), 5076-5086, 2018.

  • Jian Zhao*, Lin Xiong*, Jianshu Li, Junliang Xing, Shuicheng Yan, Jiashi Feng. "3D-Aided Dual-Agent GANs for Unconstrained Face Recognition", in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018. (* indicates equal contribution)

  • Jianshu Li, Fang Zhao, Jiashi Feng, Sujoy Roy, Shuicheng Yan, Terence Sim. "Landmark Free Face Attribute Prediction", in IEEE Transactions on Image Processing (TIP), 2018.

  • Yingzhen Yang, Jiashi Feng, Nebojsa Jojic, Jianchao Yang, Thomas S. Huang. "L0-Sparse Subspace Clustering", in International Journal of Computer Vision (IJCV), 2018.

  • Wei Wang, Yan Yan, Zhen Cui, Jiashi Feng, Shuicheng Yan, Nicu Sebe. "Recurrent Face Aging with Hierarchical AutoRegressive Memory", in IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI), 2018.

  • Fang Zhao, Jiashi Feng, Jian Zhao, Wenhan Yang, Shuicheng Yan. "Robust LSTM-Autoencoders for Face De-Occlusion in the Wild", in IEEE Transactions on Image Processing (TIP), 2018.

  • Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan. "Tensor Robust Principal Component Analysis with A New Tensor Nuclear Norm", in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.

  • Huaxin Xiao, Bingyi Kang, Yu Liu, Maojun Zhang, Jiashi Feng. "Online Meta Adaptation for Fast Video Object Segmentation", in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.

Conference Papers

  • Fang Zhao*, Jian Zhao*, Shuicheng Yan, Jiashi Feng. "Dynamic Conditional Networks for Few-Shot Learning", in European Conference on Computer Vision (ECCV), 2018. (* indicates equal contribution)

  • Jian Zhao*, Jianshu Li*, Yu Cheng*, Li Zhou, Terence Sim, Shuicheng Yan, Jiashi Feng. "Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing", in ACM International Conference on Multimedia (ACM MM), 2018. (* indicates equal contribution)

  • Jianshu Li, Jian Zhao, Yunpeng Chen, Sujoy Roy, Shuicheng Yan, Jiashi Feng, Terence Sim. "Multi-Human Parsing Machines", in ACM International Conference on Multimedia (ACM MM), 2018.

  • Bingyi Kang, Jiashi Feng. "Policy Optimization with Demonstrations", in International Conference on Machine Learning (ICML), 2018.

  • Pan Zhou, Jiashi Feng. "Understanding Generalization and Optimization Performance of Deep CNNs", in International Conference on Machine Learning (ICML), 2018.

  • Xiaojie Jin, Yingzhen Yang, Jianchao Yang, Ning Xu, Jiashi Feng, Shuicheng Yan. "WSNet: Compact and Efficient Networks with Weight Sampling", in International Conference on Machine Learning (ICML), 2018.

  • Jian Zhao*, Lin Xiong*, Yu Cheng*, Yi Cheng, Jianshu Li, Li Zhou, Yan Xu, Karlekar Jayashree, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng. "3D-Aided Deep Pose-Invariant Face Recognition", in International Joint Conference on Artificial Intelligence (IJCAI), 2018. (* indicates equal contribution)

  • Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan. "Exact Low Tubal Rank Tensor Recovery from Gaussian Measurements", in International Joint Conference on Artificial Intelligence (IJCAI), 2018.

  • Yunpeng Chen, Xiaojie Jin, Bingyi Kang, Jiashi Feng, Shuicheng Yan. "Sharing Residual Units Through Collective Tensor Factorization To Improve Deep Neural Networks", in International Joint Conference on Artificial Intelligence (IJCAI), 2018.

  • Zichuan Liu, Guosheng Lin, Sheng Yang, Jiashi Feng, Weisi Lin, Wangling Goh. "Learning Markov Clustering Networks for Scene Text Detection", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  • Zequn Jie, Pengfei Wang, Yonggen Ling, Bo Zhao, Yunchao Wei, Jiashi Feng, Wei Liu. "Left-Right Comparative Recurrent Model for Stereo Matching", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  • Yunchao Wei, Huaxin Xiao, Honghui Shi, Zequn Jie, Jiashi Feng, Thomas S. Huang. "Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi-Supervised Semantic Segmentation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  • Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, Thomas S. Huang. "Adversarial Complementary Learning for Weakly Supervised Object Localization", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  • Pan Zhou, Yunqing Hou, Jiashi Feng. "Deep Adversial Subspace Clustering", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  • Xiaopeng Zhang, Jiashi Feng, Hongkai Xiong, Qi Tian. "Zigzag Learning for Weakly Supervised Object Detection", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  • Huaxin Xiao, Jiashi Feng, Guosheng Lin, Yu Liu, Maojun Zhang. "MoNet: Deep Motion Exploitation for Video Object Segmentation", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  • Xuecheng Nie, Jiashi Feng, Yiming Zuo, Shuicheng Yan. "Human Pose Estimation with Parsing Induced Learner", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  • Jian Zhao, Yu Cheng, Yan Xu, Lin Xiong, Jianshu Li, Fang Zhao, Karlekar Jayashree, Sugiri Pranata, Shengmei Shen, Junliang Xing, Shuicheng Yan, Jiashi Feng. "Towards Pose Invariant Face Recognition in the Wild", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  • Fang Zhao, Jianshu Li, Jian Zhao, Jiashi Feng. "Weakly Supervised Phrase Localization with Multi-Scale Anchored Transformer Network", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  • Pengyuan Lyu, Cong Yao, Wenhao Wu, Shuicheng Yan, Xiang Bai . "Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  • Falong Shen, Shuicheng Yan, Gang Zeng. "Neural Style Transfer via Meta Networks", in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.

  • Pan Zhou, Jiashi Feng. "Empirical Risk Landscape Analysis for Understanding Deep Neural Networks", in International Conference on Learning Representations (ICLR), 2018.

  • Si Liu, Yao Sun, Defa Zhu, Guanghui Ren, Jizhong Han, Jiashi Feng, Yu Chen. "Cross-domain Human Parsing via Adversarial Feature and Label Adaptation", in AAAI Conference on Artificial Intelligence (AAAI), 2018 (spotlight).

  • Canyi Lu, Jiashi Feng, Zhouchen Lin, Shuicheng Yan. "Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers", in AAAI Conference on Artificial Intelligence (AAAI), 2018 (spotlight).

  • Huaxin Xiao, Yunchao Wei, Jiashi Feng, Yu Liu, Maojun Zhang. "Transferable Semi-supervised Semantic Segmentation", in AAAI Conference on Artificial Intelligence (AAAI), 2018 (oral).