Learning and Vision Lab, ECE, NUS

Journal Papers 2016

  1. Congyan Lang, Jiashi Feng, Songhe Feng, Jingdong Wang, Shuicheng Yan. Dual Low-Rank Pursuit: Learning Salient Features for Saliency Detection. In IEEE Transactions on Neural Networks and Learning Systems (TNNLS). 27(6), 1190-1200, 2016.
  2. Bo Zhao, Jiashi Feng, Xiao Wu, Shuicheng Yan. A Survey on Deep Learning-Based Fine-Grained Object Classification and Semantic Segmentation. In International Journal of Automation and Computing, 2016.
  3. Jinhui Tang, Xiangbo Shu, Guojun Qi, Zechao Li, Meng Wang, Shuicheng Yan, Ramesh Jain. Tri-Clustered Tensor Completion for Social-Aware Image Tag Refinement. In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
  4. Junliang Xing, Weiming Hu, Haizhou Ai, Shuicheng Yan. FatRegion: A Fast, Adaptive, Tree-structured Region Extraction Approach. In IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2016.
  5. Yue Gao, Hanwang Zhang, Xibin Zhao, Shuicheng Yan. Event Classification in Microblog via Social Tracking. In ACM Transactions on Intelligent Systems and Technology (TIST), 2016.
  6. Zequn Jie, Wen Feng Lu, Siavash Sakhavi, Yunchao Wei, Eng Hock Francis Tay, Shuicheng Yan. Object Proposal Generation with Fully Convolutional Networks. In IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2016.
  7. Zequn Jie, Xiaodan Liang, Jiashi Feng, Wen Feng Lu, Eng Hock Francis Tay, Shuicheng Yan. Scale-aware Pixelwise Object Proposal Networks. In IEEE Transactions on Image Processing (TIP), 2016.
  8. Canyi Lu, Shuicheng Yan, Zhouchen Lin. Convex Sparse Spectral Clustering: Single-view to Multi-view. In IEEE Transactions on Image Processing (TIP), 2016.
  9. Zhen Cui, Zhiheng Niu, Luoqi Liu, Shuicheng Yan. Layerwise Class-Aware Convolutional Neural Network. In IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2016.
  10. Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu, Shuicheng Yan, M. Shamim Hossain, Ahmed Ghoneim. Deep Relative Attributes. In IEEE Transactions on Multimedia (TMM), 2016.
  11. Zhao Zhang, Fanzhang Li, Tommy W.S. Chow, Li Zhang, Shuicheng Yan. Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation. In IEEE Transactions on Signal Processing (IEEE TSP), 2016.
  12. Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan. Joint Low-rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification. In IEEE Transactions on Image Processing (TIP), 2016.
  13. Hanjiang Lai, Pan Yan, Xiangbo Shu, Yunchao Wei, Shuicheng Yan. Instance-Aware Hashing for Multi-Label Image Retrieval. Norm. In IEEE Transactions on Image Processing (TIP), 2016.
  14. Xiaodan Liang, Wei Yang, Ping Luo, Junshi Huang, Liang Lin, Shuicheng Yan. Clothes Co-Parsing via Joint Image Segmentation and Labeling with Application to Clothing Retrieval. In IEEE Transactions on Multimedia (TMM), 2016.
  15. Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Jinhui Tang, Liang Lin, Shuicheng Yan. Human Parsing with Contextualized Convolutional Neural Network. In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
  16. Bo Zhao, Xiao Wu, Qiang Peng, Shuicheng Yan. Clothing Co-segmentation for Shopping Images with Cluttered Background. In IEEE Transactions on Multimedia (TMM), 2016.
  17. Yunchao Wei, Yao Zhao, Canyi Lu, Shikui Wei, Luoqi Liu, Zhenfeng Zhu, Shuicheng Yan. Cross-modal Retrieval with CNN Visual Features: A New Baseline. In IEEE Transactions on Cybernetics (TCYB), 2016.
  18. Yunchao Wei, Xiaodan Liang, Yunpeng Chen, Zequn Jie, Yanhui Xiao, Yao Zhao, Shuicheng Yan. Learning to Segment with Image-level Annotations. In Pattern Recognition, 2016.

Conference Papers 2016

  1. Jianshu Li, Sujoy Roy, Jiashi Feng, Terence Sim. Happiness level prediction with sequential inputs via multiple regressions. In 18th ACM International Conference on Multimodal Interaction (ICMI), 2016. (Winner award for emotion recognition in the wild challenge)
  2. Jianshu Li, Jian Zhao, Fang Zhao, Hao Liu, Jing Li, Shengmei Shen, Jiashi Feng, Terence Sim. Robust Face Recognition with Deep Multi-View Representation Learning. In ACM Multimedia Conference (MM), 2016. (Grand challenge paper)
  3. Shengtao Xiao, Luoqi Liu, Xuecheng Nie, Jiashi Feng, Ashraf Kassim, Shuicheng Yan. A Live Face Swapper. In ACM International Conference on Multimedia (ACM MM), 2016.
  4. Shengtao Xiao, Jiashi Feng, Junliang Xing, Hangjiang Lai, Shuicheng Yan, Ashraf Kassim. Robust Facial Landmark Detection via Recurrent Attentive-Refinement Networks. In European Conference on Computer Vision (ECCV), 2016.
  5. Xiaojie Jin, Yunpeng Chen, Jian Dong, Jiashi Feng, Shuicheng Yan. Collaborative Layer-wise Discriminative Learning for Deep Neural Networks. In European Conference on Computer Vision (ECCV), 2016.
  6. Zequn Jie, Xiaodan Liang, Jiashi Feng, Xiaojie Jin, Wen Feng Lu, Shuicheng Yan. Tree-structured Reinforcement Learning for Sequential Object Localization. In Neural Information Processing Systems (NIPS), 2016.
  7. Wei Wang, Yan Yan, Feiping Nie, Xavier Alameda Pineda, Shuicheng Yan, Nicu Sebe. Projective Unsupervised Flexible Embedding with Optimal Graph. In the 27th British Machine Vision Conference (BMVC), 2016.
  8. Jie Fu, Hongyin Luo, Jiashi Feng, Kian Hsiang Low, Tat-Seng Chua. DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks. In International Joint Conference on Artificial Intelligence (IJCAI), 2016.
  9. Xi Peng, Shijie Xiao, Jiashi Feng, Wei-Yun Yau, Zhang Yi. Deep Sub-space Clustering with Sparsity Prior. In International Joint Conference on Artificial Intelligence (IJCAI), 2016.
  10. Samaneh Azadi, Jiashi Feng, Stefanie Jegelka, Trevor Darrell. Auxiliary Image Regularization for Deep CNNs with Noisy Labels. In International Conference on Learning Representations (ICLR), 2016.
  11. Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell. Natural Language Object Retrieval. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Oral), 2016.
  12. Xu Liu, Zilei Wang, Jiashi Feng, Hongsheng Xi. Highway Vehicle Counting in Compressed Domain. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  13. Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin, Shuicheng Yan. Reversible Recursive Instance-Level Object Segmentation. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  14. Zhen Cui, Shengtao Xiao, Jiashi Feng, Shuicheng Yan. Recurrently Target-Attending Tracking. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  15. Wei Wang, Zhen Cui, Yan Yan, Jiashi Feng, Shuicheng Yan, Xiangbo Shu, Nicu Sebe. Recurrent Face Aging. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Oral), 2016.
  16. Xiaodan Liang, Xiaohui Shen, Donglai Xiang, Jiashi Feng, Liang Lin, Shuicheng Yan. Semantic Object Parsing With Local-Global Long Short-Term Memory. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  17. Canyi Lu, Jiashi Feng, Yudong Chen, Wei Liu, Zhouchen Lin, Shuicheng Yan. Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
  18. Baochen Sun, Jiashi Feng, Kate Saenko. Return of Frustratingly Easy Domain Adaptation. In the 30th AAAI Conference on Artificial Intelligence (AAAI-16).
  19. Xiaojie Jin, Chunyan Xu, Jiashi Feng, Yunchao Wei, Junjun Xiong, Shuicheng Yan. Deep Learning with S-shaped Rectified Linear Activation Units. In the 30th AAAI Conference on Artificial Intelligence (AAAI-16).
  20. Canyi Lu, Huan Li, Zhouchen Lin, Shuicheng Yan. Fast Proximal Linearized Alternating Direction Method of Multiplier with Parallel Splitting. In the 30th AAAI Conference on Artificial Intelligence (AAAI-16).
  21. Xiangbo Shu, Liyan Zhang, Jinhui Tang, Guo-Sen Xie, Shuicheng Yan. Computational Face Reader. In the 22nd Anniversary International Conference on Multi-Media Modeling (MMM16).