Publications

Selected Journal Papers    (indicates I am the paper’s corresponding author)

  1. Xiaodan Liang, Ke Gong, Xiaohui Shen, and Liang Lin*, “Look into Person: Joint Body Parsing & Pose Estimation Network and A New Benchmark”,  IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2018.2820063, 2018. [Page with Code]

  2. Wangmeng Zuo, Xiaohe Wu, Liang Lin, Lei Zhang, and Ming-Hsuan Yang, “Learning Support Correlation Filters for Visual Tracking”,  IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2018. [Project Page]

  3. Ruimao Zhang, Liang Lin*, Guangrun Wang, Meng Wang, and Wangmeng Zuo, “Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2018.2799846, 2018. [PDF] [Supplemental Material] [Page with Code]

  4. Xiaodan Liang, Liang Lin*, Yunchao Wei, Xiaohui Shen, Jianchao Yang, and Shuicheng Yan, “Proposal-free Network for Instance-level Semantic Object Segmentation”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), DOI: 10.1109/TPAMI.2017.2775623, 2018. [PDF]

  5. Xiaohe Wu, Wangmeng Zuo, Liang Lin, Wei Jia, and David Zhang, “F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation”, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), DOI: 10.1109/TNNLS.2018.2791507, 2018. [Code]

  6. Ziliang Chen, Keze Wang, Xiao Wang, Pai Peng, Ebroul Izquierdo, and Liang Lin*, “Deep Co-Space: Sample Mining Across Feature Transformation for Semi-Supervised Learning”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), DOI: 10.1109/TCSVT.2017.2710478, 2018.

  7. Liang Lin, Keze Wang, Deyu Meng, Wangmeng Zuo, and Lei Zhang, “Active Self-Paced Learning for Cost-Effective and Progressive Face Identification”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 40 (1): 7-19, 2018.  [PDF] [Page with Code]

  8. Wangmeng Zuo, Faqiang Wang, David Zhang, Liang Lin, Yuchi Huang, Deyu Meng, and Lei Zhang, “Distance Metric Learning via Iterated Support Vector Machines”, IEEE Transactions on Image Processing (T-IP), 26(10): 4937-4950, 2017. [PDF]

  9. Yukai Shi, Keze Wang, Chongyu Chen, Li Xu, and Liang Lin, “Structure-Preserving Image Super-resolution via Contextualized Multi-task Learning”, IEEE Transactions on Multimedia (T-MM), 19(12): 2804-2815, 2017. [PDF]

  10. Jun Zhang, Meng Wang, Liang Lin, Xun Yang, Jun Gao, and Yong Rui, “Saliency Detection on Light Field: A Multi-Cue Approach”, ACM Transactions on Multimedia Computing, Communications, and Applications (ACM-TOMM), 13(3): Article 32, 2017. [PDF]

  11. Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Jinhui Tang, Liang Lin*, Shuicheng Yan, “Human Parsing with Contextualized Convolutional Neural Network”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 39(1): 115-127, 2017. [PDF]

  12. Dongyu Zhang, Liang Lin*, Tianshui Chen, Xian Wu, Wenwei Tan, and Ebroul Izquierdo, “Content-Adaptive Sketch Portrait Generation by Decompositional Representation Learning”, IEEE Transactions on Image Processing (T-IP), 26(1): 328-339, 2017.  [PDF] [Page with Code]

  13. Keze Wang, Dongyu Zhang, Ya Li, Ruimao Zhang, and Liang Lin, “Cost-Effective Active Learning for Deep Image Classification”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 27(12): 2591-2600, 2017. [PDF]

  14. Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, and Lei Zhang, “Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 39(6): 1089-1102, 2017. [PDF] [Page with Code]

  15. Xiaodan Liang, Yunchao Wei, Liang Lin*, Yunpeng Chen, Xiaohui Shen, Jianchao Yang, and Shuicheng Yan, “Learning to Segment Human by Watching Youtube”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 39(7): 1462-1468, 2017. [PDF]

  16. Chenglong Li, Xiao Wang, Lei Zhang, Jin Tang, Hejun Wu, Liang Lin*, “WELD: Weighted Low-rank Decomposition for Robust Grayscale-Thermal Foreground Detection”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 27(4): 725-738, 2017. [PDF] [Page with Code]

  17. Chenglong Li, Hui Cheng, Shiyi Hu, Xiaobai Liu, Jin Tang, and Liang Lin, “Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking”, IEEE Transactions on Image Processing (T-IP), 25(12): 5743-5756, 2016. [PDF]

  18. Liang Lin, Keze Wang, Wangmeng Zuo, Meng Wang, Jiebo Luo, and Lei Zhang, “A Deep Structured Model with Radius-Margin Bound for 3D Human Activity Recognition”, International Journal of Computer Vision (IJCV), 118(2): 256-273, 2016. [PDF] [Code]

  19. Ping Luo, Liang Lin*, and Xiaobai Liu, “Learning Compositional Shape Models of Multiple Distance Metrics by Information Projection”, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 27(7): 1417-1428, 2016. [PDF]

  20. Liang Lin, Wei Yang, Chenglong Li, Jin Tang, and Xiaochun Cao, “Inference With Collaborative Model for Interactive Tumor Segmentation in Medical Image Sequences”, IEEE Transactions on Cybernetics (T-Cybernetics), 46(12): 2796-2809, 2016. [PDF] [Page with Data]

  21. Tianshui Chen, Liang Lin*, Lingbo Liu, Xiaonan Luo, and Xuelong Li, “DISC: Deep Image Saliency Computing via Progressive Representation Learning”, IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), 27(6): 1135-1149, 2016. [PDF] [Page with Code]

  22. Xiaodan Liang, Liang Lin*, Wei Yang, Ping Luo, Junshi Huang, and Shuicheng Yan, “Clothes Co-Parsing via Joint Image Segmentation and Labeling with Application to Clothing Retrieval”, IEEE Transactions on Multimedia (T-MM), 18(6): 1175-1186, 2016. [PDF] [Page with Code]

  23. Liang Lin, Yongyi Lu, Chenglong Li, Hui Cheng, and Wangmeng Zuo, “Detection-free Multi-object Tracking by Reconfigurable Inference with Bundle Representations”, IEEE Transactions on Cybernetics (T-Cybernetics), 46(11): 2447-2458, 2016. [PDF]

  24. Chenglong Li, Liang Lin*, Wangmeng Zuo, Wenzhong Wang, and Jin Tang, “An Approach to Streaming Video Segmentation with Sub-optimal Low-rank Decomposition”, IEEE Transactions on Image Processing (T-IP), 25(5): 21947-1960, 2016. [PDF] [Page with Code]

  25. Xiaodan Liang, Liang Lin*, Qingxing Cao, Rui Huang, and Yongtian Wang, “Recognizing Focal Liver Lesions in CEUS with Dynamically Trained Latent Structured Models”, IEEE Transactions on Medical Imaging (T-MI), 35(3): 713-727, 2016. [PDF][Page with Code]

  26. Zhanglin Peng, Ya Li, Zhaoquan Cai, and Liang Lin*, “Deep Boosting: Joint Feature Selection and Analysis Dictionary Learning in Hierarchy”, Neurocomputing, 178: 36-45, 2016. [PDF]

  27. Ruimao Zhang, Liang Lin*, Rui Zhang, Wangmeng Zuo, and Lei Zhang, “Bit-Scalable Deep Hashing with Regularized Similarity Learning for Image Retrieval and Person Re-identification”, IEEE Transactions on Image Processing (T-IP), 24(12): 4766-4779, 2015. [PDF]

  28. Xionghao Liu, Wei Yang, Liang Lin, Qing Wang, Zhaoquan Cai, Jian-Huang Lai, “Data-Driven Scene Understanding with Adaptively Retrieved Exemplars”, IEEE Multimedia (MM), 22(3): 82-92, 2015. [PDF]

  29. Si Liu, Xiaodan Liang, Luoqi Liu, Ke Lu, Liang Lin, Xiaochun Cao, and Shuicheng Yan, “Fashion  Parsing with Video Context”, IEEE Transactions on Multimedia (T-MM), 17(8): 1347-1358, 2015. [PDF]

  30. Keze Wang, Liang Lin*, Jiangbo Lu, Chenglong Li, and Keyang Shi, “PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence”, IEEE Transactions on Image Processing (T-IP), 24(10): 3019-3033, 2015. [PDF]

  31. Xiaodan Liang, Si Liu, Xiaohui Shen, Jianchao Yang, Luoqi Liu, Liang Lin, and Shuicheng Yan, “Deep Human Parsing with Active Template Regression”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 37(12): 2402-2414, 2015. [PDF]

  32. Shengyong Ding, Liang Lin*, Guangrun Wang, and Hongyang Chao, “Deep Feature Learning with Relative Distance Comparison for Person Re-identification”,Pattern Recognition, 48(10): 2993-3003, 2015. [PDF]

  33. Zhihua Chen, Wangmeng Zuo, Qinghua Hu, and Liang Lin, “Kernel Sparse Representation for Time Series Classification”, Information Sciences, 292(20): 15-26, 2015. [PDF]

  34. Liang Lin, Xiaolong Wang, Wei Yang, and JianHuang Lai, “Discriminatively Trained And-Or Graph Models for Object Shape Detection”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 37(5): 959-972, 2015. [PDF]

  35. Ning Liu, Hefeng Wu, and Liang Lin, “Hierarchical Ensemble of Background Models for PTZ-based Video Surveillance”, IEEE Transactions on Cybernectics (T-Cybernetics), 45(1): 89-102, 2015. [PDF]

  36. Liang Lin, Ruimao Zhang, and Xiaohua Duan, “Adaptive Scene Category Discovery with Generative Learning and Compositional Sampling”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 25(2): 251-260, 2015. [PDF]

  37. Bo Jiang, Jin Tang, Bin Luo, and Liang Lin, “Robust Feature Point Matching with Sparse Model”, IEEE Transactions on Image Processing (T-IP), 23(12): 5175-5186, 2014. [PDF]

  38. Liang Lin, Yuanlu Xu, Xiaodan Liang, and Jianhuang Lai, “Complex Background Subtraction by Pursuing Dynamic Spatio-Temporal Models”, IEEE Transactions on Image Processing (T-IP), 23(7): 3191-3202, 2014. [PDF]

  39. Xiaobai Liu, Liang Lin*, and Hai Jin, “Contextualized Trajectory Parsing with Spatio-Temporal Graph”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 35(12): 3010-3024, 2013. [PDF]

  40. Liang Lin, Kun Zeng, Yizhou Wang, Ying-Qing Xu, and Song-Chun Zhu, “Video Stylization: Painterly Rendering and Optimization with Content Extraction”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 23(4): 577-590, 2013. [PDF]

  41. Hanjiang Lai, Yan Pan, Cong Liu, Liang Lin, and Jie Wu,”Sparse Learning-to-Rank via an Efficient Primal-Dual Algorithm”, IEEE Transactions on Computers (T-Computers), 62(6): 1221-1233, 2013. [PDF]

  42. Xiaohua Duan, Liang Lin*, and Hongyang Chao, “Discovering Video Shot Categories by Unsupervised Stochastic Graph Partition”, IEEE Transactions on Multimedia (T-MM), 15(1): 167-180, 2013. [PDF]

  43. Liang Lin, Yongyi Lu, Yan Pan, and Xiaowu Chen, “Integrating Graph Partitioning and Matching for Trajectory Analysis in Video Surveillance”, IEEE Transactions on Image Processing (T-IP), 21(12): 4844-4857, 2012. [PDF]

  44. Liang Lin, Xiaobai Liu, Shaowu Peng, Hongyang Chao, Yongtian Wang, and Bo Jiang, “Object Categorization with Sketch Representation and Generalized Samples”, Pattern Recognition, 45(10): 3648-3660, 2012. [PDF]

  45. Xiaobai Liu, Liang Lin*, Hai Jin, Shuicheng Yan, and Wenbin Tao, “Integrating Spatio-temporal Context with Multiview Representation for Object Recognition in Visual Surveillance”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 21(4): 393-407, 2011. [PDF]

  46. Liang Lin, Ping Luo, Xiaowu Chen, and Kun Zeng, “Representing and Recognizing Objects with Massive Local Image Patches”, Pattern Recognition, 45(1): 231-240, 2012. [PDF]

  47. Xiaobai Liu, Liang Lin*, Shuicheng Yan, Hai Jin, and Wenbing Jiang, “Adaptive Object Tracking by Learning Hybrid Template On-line”, IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 21(11): 1588-1599, 2011. [PDF]

  48. Jinli Suo, Liang Lin, Shiguang Shan, Xilin Chen, and Wen Gao, “High Resolution Face Fusion for Gender Conversion”, IEEE Transactions on Systems, Man, and Cybernetics (T-SMC), Part A, 41(2): 226-237, 2011. [PDF]

  49. Liang Lin, Xiaobai Liu, and Song-Chun Zhu, “Layered Graph Matching with Composite Cluster Sampling”, IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 32(8): 1426-1442, 2010. [PDF]

  50. Benjamin Yao, Xiong Yang, Liang Lin, M.W. Lee, and Song-Chun Zhu, “I2T: Image Parsing to Text Description”, Proceedings of the IEEE, 98(8): 1485-1508, 2010. [PDF]

  51. Liang Lin, Tianfu Wu, Jake Porway, and Zijian Xu, “A Stochastic Graph Grammar for Compositional Object Representation and Recognition”, Pattern Recognition, 42(7): 1297-1307, 2009. [PDF]

  52. Liang Lin, Haifeng Gong, Li Li, and Liang Wang, “Semantic Event Representation and Recognition Using Syntactic Attribute Graph Grammar”, Pattern Recognition Letters, 30(2): 180-186, 2009. [PDF]

  53. Liang Lin, Kun Zeng, Yongtian Wang, and Wenze Hu, “3D Structure Inference by Integrating Segmentation and Reconstruction from A Single Image”, IET Computer Vision, 2(1): 15-22, 2008. [PDF]

  54. Liang Lin, Yongtian Wang, Yue Liu, Caiming Xiong and Kun Zeng, “Marker-less Registration Based on Template Tracking for Augmented Reality”, Multimedia Tools and Applications Journal (MMTA), 41(2): 235-252, 2009. [PDF]

  55. Liang Lin, Yue Liu, Yongtian Wang, and Wei Zheng, “Registration Algorithm Based on Image Matching for Outdoor AR System with Fixed Viewing Position”, IEE Proceedings on Vision, Image & Signal Processing, 153(1): 57-62, 2006. [PDF]

 

Selected Conference Papers    (indicates I am the paper’s corresponding author)

  1. Keze Wang, Xiaopeng Yan, Dongyu Zhang, Lei Zhang, and Liang Lin, “Towards Human-Machine Cooperation:  Self-supervised Sample Mining for Object Detection”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF]

  2. Yue Luo, Jimmy Ren, Zhouxia Wang, Wenxiu Sun, Jinshan Pan, Jianbo Liu, Jiahao Pang, and Liang Lin, “LSTM Pose Machines”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF]

  3. Guanbin Li, Yuan Xie, Tianhao Wei, Keze Wang, and Liang Lin*, “Flow Guided Recurrent Neural Encoder for Video Salient Object Detection”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF]

  4. Xian Wu, Guanbin Li, Qingxing Cao, Qingge Ji, and Liang Lin, “Interpretable Video Captioning via Trajectory Structured Localization”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF]

  5. Qingxing Cao, Xiaodan Liang, Bailin Li, Guanbin Li, and Liang Lin*, “Visual Question Reasoning on General Dependency Tree”,  Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF]

  6. Ruijia Xu, Ziliang Chen, Wangmeng Zuo, Junjie Yan, and Liang Lin*, “Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF] [Supp.]

  7. Ke Yu, Chao Dong, Liang Lin, and Chen Change Loy, “Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF]

  8. Jiahao Pang, Wenxiu Sun, Chengxi Yang, Jimmy Ren, Ruichao Xiao, Jin Zeng, and Liang Lin, “Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF] [Supp.]

  9. Yue Luo, Jimmy Ren, Mude Lin, Jiahao Pang, Wenxiu Sun, Hongsheng Li, and Liang Lin, “Single View Stereo Matching”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. [PDF]

  10. Hui Cheng, Junhao Cai, Quande Liu, Zhanpeng Zhang, Kai Yang, Chen Change Loy, and Liang Lin, “Fusing Object Context to Detect Functional Area for Cognitive Robots”, Proc. of IEEE International Conference on Robotics and Automation (ICRA), 2018.

  11. Zhongchang Liu, Zeyu Jiang, Tianye Xu, Hui Cheng, Zhipeng Xie, and Liang Lin, “Avoidance of High-speed Obstacles Based on Velocity Obstacles”, Proc. of IEEE International Conference on Robotics and Automation (ICRA), 2018.

  12. Tianshui Chen, Liang Lin*, Wangmeng Zuo, Xiaonan Luo, and Lei Zhang, “Learning A Wavelet-like Auto-Encoder to Accelerate Deep Neural Networks”, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2018. (Oral Presentation) [PDF] [Page with Code]

  13. Guanbin Li, Yuan Xie, and Liang Lin*, “Weakly Supervised Salient Object Detection Using Image Labels”, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2018. (Oral Presentation) [PDF]

  14. Tianshui Chen, Zhouxia Wang, Guanbin Li, and Liang Lin, “Attentional Reinforcement Learning for Multi-label Image Recognition”, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2018.  [PDF]

  15. Liang Lin, Lili Huang, Tianshui Chen, Yukang Gan, and Hui Cheng, “Knowledge-Guided Recurrent Neural Network Learning for Task-oriented Action Prediction”, Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2017.  (The world’s first 10K Best Paper Diamond Award, More info: http://www.ieee-icme.org/sc/award.php) [PDF]

  16. Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, and Liang Lin*, “Multi-label Image Recognition by Recurrently Discovering Attentional Regions”, Proc. of IEEE International Conference on Computer Vision (ICCV), 2017. [PDF]

  17. Ping Luo, Guangrun Wang, Liang Lin*, and Xiaogang Wang, “Deep Dual Learning for Semantic Image Segmentation”, Proc. of IEEE International Conference on Computer Vision (ICCV), 2017. [PDF]

  18. Xiaobai Liu, Qi Chen, Yuanlu Xu, and Liang Lin, “Place-centric Visual Urban Perception with Deep Multi-instance Regression”, Proc. of ACM International Conference on Multimedia (ACM MM), 2017. [PDF]

  19. Hui Cheng, Qiyuan Zhu, Zhongchang Liu, Tianye Xu, and Liang Lin, “Decentralized Navigation of Multiple Agents Based on ORCA and Model Predictive Control”, Proc. of IEEE\RSJ International Conference on Intelligent Robots and Systems (IROS), 2017. [PDF]

  20. Qingxing Cao, Liang Lin*, Yukai Shi, Xiaodan Liang, and Guanbin Li, “Attention-Aware Face Hallucination via Deep Reinforcement Learning”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF]

  21. Mude Lin, Liang Lin*, Xiaodan Liang, Keze Wang, and Hui Cheng, “Recurrent 3D Pose Sequence Machines”,  of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF]

  22. Ke Gong, Xiaodan Liang, Dongyu Zhang, Xiaohui Shen, and Liang Lin, “Look into Person: Self-supervised Structure-sensitive Learning and A New Benchmark for Human Parsing”,  Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF]

  23. Xiaodan Liang, Liang Lin*, Xiaohui Shen, Jiashi Feng, Shuicheng Yan, and Eric Xing, “Interpretable Structure-Evolving LSTM”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF]

  24. Guanbin Li, Yuan Xie, Liang Lin, and Yizhou Yu, “Instance-Level Salient Object Segmentation”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF]

  25. Tong Xiao, Shuang Li, Bochao Wang, Liang Lin, and Xiaogang Wang, “Joint Detection and Identification Feature Learning for Person Search”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF][Page with Code]

  26. Guangrun Wang, Ping Luo, Liang Lin*, and Xiaogang Wang, “Learning Object Interactions and Descriptions for Semantic Image Segmentation”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF]

  27. Chenglong Li, Liang Lin*, Wangmeng Zuo, and Jin Tang, “Learning Patch-based Dynamic Graph for Visual Tracking”,  Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2017. (Oral Presentation) [PDF]

  28. Keze Wang, Shengfu Zhai, Hui Cheng, Xiaodan Liang, and Liang Lin, “Human Pose Estimation from Depth Images via Inference Embedded Multi-task Learning”, Proc. of ACM International Conference on Multimedia (ACM MM), (full paper, Oral Presentation), 2016. [PDF]

  29. Zhen Li, Yukang Gan, Xiaodan Liang, Yizhou Yu, Hui Cheng, and Liang Lin*, “LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling”, Proc. of European Conference on Computer Vision (ECCV), 2016. [PDF]

  30. Xiaodan Liang, Xiaohui Shen, Jiashi Feng, Liang Lin*, and Shuicheng Yan, “Semantic Object Parsing with Graph LSTM”,  Proc. of European Conference on Computer Vision (ECCV), 2016. [PDF]

  31. Liliang Zhang, Liang Lin*, Xiaodan Liang, Kaiming He, “Is Faster R-CNN Doing Well for Pedestrian Detection?”, Proc. of European Conference on Computer Vision (ECCV), 2016. [PDF] [Page with Code]

  32. Xiaobai Liu, Yadong Mu, and Liang Lin, “A Stochastic Image Grammar for Fine-grained 3D Scene Reconstruction”, Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2016. [PDF]

  33. Zhanglin Peng, Ruimao Zhang, Xiaodan Liang, Xiaobai Liu, and Liang Lin*, “Geometric Scene Parsing with Hierarchical LSTM”, Proc. of International Joint Conference on Artificial Intelligence (IJCAI), 2016. [PDF]

  34. Yukai Shi, Keze Wang, Li Xu, and Liang Lin*, “Local- and Holistic-structure Preserving Image Super Resolution via Deep Joint Component Learning”, Proc. of IEEE Conference on Multimedia and Expo (ICME), 2016. (Oral Presentation) [PDF]

  35. Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, and Wangmeng Zuo, “Deep Structured Scene Parsing by Learning with Image Descriptions”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (Oral Presentation) [PDF][Dataset]

  36. Xiaodan Liang, Xiaohui Shen, Donglai Xiang, Jiashi Feng, Liang Lin*, and Shuicheng Yan, “Semantic Object Parsing with Local-Global Long Short-Term Memory”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [PDF]

  37. Keze Wang, Liang Lin*, Wangmeng Zuo, Shuhang Gu, and Lei Zhang, “Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [PDF]

  38. Faqiang Wang, Wangmeng Zuo, Liang Lin, David Zhang, and Lei Zhang, “Joint Learning of Single-image and Cross-image Representations for Person Re-identification”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [PDF]

  39. Xiaodan Liang, Yunchao Wei, Xiaohui Shen, Zequn Jie, Jiashi Feng, Liang Lin*, and Shuicheng Yan, “Reversible Recursive Instance-level Object Segmentation”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. [PDF]

  40. Guangrun Wang, Liang Lin*, Shengyong Ding, Ya Li, and Qing Wang, “DARI: Distance metric And Representation Integration for Person Verification”, Proc. of AAAI Conference on Artificial Intelligence (AAAI), 2016. [PDF]

  41. Shuye Zhang, Mude Lin, Tianshui Chen, Lianwen Jin, Liang Lin, “Character Proposal Network for Robust Text Extraction”, Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016. [PDF]

  42. Xiaodan Liang, Chunyan Xu, Xiaohui Shen, Jianchao Yang, Si Liu, Jinhui Tang, Liang Lin*, and Shuicheng Yan, “Human Parsing with Contextualized Convolutional Neural Network”, Proc. of IEEE International Conference on Computer Vision (ICCV), 2015. (Oral Presentation) [PDF]

  43. Xiaodan Liang, Si Liu, Yunchao Wei, Luoqi Liu, Liang Lin, and Shuicheng Yan, “Towards Computational Baby Learning: A Weakly-supervised Approach for Object Detection”, Proc. of IEEE International Conference on Computer Vision (ICCV), 2015. [PDF]

  44. Chenglong Li, Liang Lin*, Wangmeng Zuo, Shuicheng Yan, and Jin Tang, “SOLD: Sub-Optimal Low-Rank Decomposition for Efficient Video Segmentation”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [PDF][Supp.]

  45. Wangmeng Zuo, Dongwei Ren, Shuhang Gu, Liang Lin, and Lei Zhang, “Discriminative Learning of Iteration-Wise Priors for Blind Deconvolution”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [PDF][Supp.]

  46. Si Liu, Xiaodan Liang, Luoqi Liu, Xiaohui Shen, Jianchao Yang, Changsheng Xu, Liang Lin, Xiaochun Cao, and Shuicheng Yan, “Matching-CNN Meets KNN: Quasi-Parametric Human Parsing”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [PDF]

  47. Liliang Zhang, Liang Lin*, Xian Wu, Shengyong Ding, and Lei Zhang, “End-to-End Photo-Sketch Generation via Fully Convolutional Representation Learning”, Proc. of ACM International Conference on Multimedia Retrieval (ACM ICMR), 2015. [PDF]

  48. Xiaolong Wang, Liliang Zhang, Liang Lin*, Zhujin Liang, and Wangmeng Zuo, “Deep Joint Task Learning for Generic Object Extraction”, Proc. of Advances in Neural Information Processing Systems (NIPS), 2014. [PDF]

  49. Keze Wang, Xiaolong Wang, Liang Lin*, Meng Wang, and Wangmeng Zuo, “3D Activity Recognition with Reconfigurable Convolutional Neural Networks”, Proc. of ACM International Conference on Multimedia (ACM MM), (full paper, Oral Presentation), 2014. [PDF]

  50. Si Liu, Xiaodan Liang, Luoqi Liu, Ke Lv, Liang Lin, and Shuicheng Yan, “Fashion Parsing with Video Context”, Proc. of ACM International Conference on Multimedia (ACM MM), (full paper, Oral Presentation), 2014. [PDF]

  51. Yuanlu Xu, Bingpeng Ma, Rui Huang, and Liang Lin, “Person Search in a Scene by Jointly Modeling People Commonness and Person Uniqueness”, Proc. of ACM International Conference on Multimedia (ACM MM), 2014. [PDF]

  52. Zhujin Liang, Xiaolong Wang, Rui Huang, and Liang Lin*, “An Expressive Deep Model for Parsing Human Action from a Single Image”, Proc. of IEEE International Conference on Multimedia and Expo (ICME), 2014. (Best Student Paper Award) [PDF]

  53. Wei Yang, Ping Luo, and Liang Lin*, “Clothing Co-Parsing by Joint Image Segmentation and Labeling”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014. [PDF]

  54. Xiaodan Liang, Qingxing Cao, Rui Huang, and Liang Lin, “Recognizing Focal Liver Lesions in Contrast-Enhanced Ultrasound with Discriminatively Trained Spatio-Temporal Model”, IEEE International Symposium on Biomedical Imaging (ISBI), 2014. [PDF]

  55. Xiaochun Cao, Hua Zhang, Si Liu, Xiaojie Guo, and Liang Lin, “SYM-FISH: A Symmetry-aware Flip Invariant Sketch Histogram Shape Descriptor”, Proc. of IEEE International Conference on Computer Vision (ICCV), 2013. [PDF]

  56. Canyi Lu, Jinhui Tang, Min Lin, Liang Lin, Shuicheng Yan, and Zhouchen Lin, “Correntropy Induced L2 Graph for Robust Subspace Clustering”, Proc. of IEEE International Conference on Computer Vision (ICCV), 2013. [PDF]

  57. Yuanlu Xu, Liang Lin*, Wei-Shi Zheng, and Xiaobai Liu, “Human Re-identification by Matching Compositional Template with Cluster Sampling”, Proc. of IEEE International Conference on Computer Vision (ICCV), 2013. [PDF]

  58. Xiaodan Liang, Liang Lin*, and Liangliang Cao, “Learning Latent Spatio-Temporal Compositional Model for Human Action Recognition”, Proc. ACM International Conference on Multimedia (ACM MM), (full paper, Oral Presentation), 2013. [PDF]

  59. Bingbing Ni, Yong Pei, Zhujin Liang, Liang Lin, and Pierre Moulin, “Integrating Multi-Stage Depth-Induced Contextual Information For Human Action Recognition and Localization”, Proc. of IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG), 2013. [PDF]

  60. Xiaolong Wang, Liang Lin*, Lichao Huang, and Shuicheng Yan, “Incorporating Structural Alternatives and Sharing into Hierarchy for Multiclass Object Recognition and Detection”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013. [PDF]

  61. Keyang Shi, Keze Wang, Jiangbo Lu, and Liang Lin*, “PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Spatial Priors”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013. [PDF]

  62. Xiaobai Liu, Liang Lin, and Alan L. Yuille, “Robust Region Grouping via Internal Patch Statistics”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013. [PDF]

  63. Xiaolong Wang, and Liang Lin*, “Dynamical And-Or Graph Learning for Object Shape Modeling and Detection”, Proc. of Advances in Neural Information Processing Systems (NIPS), 2012. [PDF]

  64. Tao Lin, Liang Lin*, and Qing Wang, “Robust Stroke-based Video Animation via Layered Motion and Correspondence”, Proc. of ACM International Conference on Multimedia (ACM MM), 2012. [PDF]

  65. Ping Luo, Xiaogang Wang, Liang Lin, and Xiaoou Tang, “Joint Semantic Segmentation by Searching for Compatible-Competitive References”, Proc. of ACM International Conference on Multimedia (ACM MM), 2012. [PDF]

  66. Mengyou Li, Zheng Song, Qiang Chen, Liang Lin, Zhongyang Huang, and Shuicheng Yan, “Object-Layout-Aware Image Retrieval for Personal Album Management”, Proc. of European Conference on Computer Vision (ECCV), 2012. (in Demo Session) [PDF]

  67. Liang Lin, Xiaolong Wang, Wei Yang, and Jian-Huang Lai, “Learning Contour-Fragment-based Shape Model with And-Or Tree Representation”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. [PDF]

  68. Jiangbo Lu, Keyang Shi, Dongbo Min, Liang Lin, and Minh Do, “Cross-based Local Multipoint Filtering”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. [PDF]

  69. Xiaobai Liu, Jiashi Feng, Shuicheng Yan, Liang Lin, and Hai Jin, “Segment an Image by Looking into an Image Corpus”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. [PDF]

  70. Ping Luo, Liang Lin*, and Hongyang Chao, “Learning Shape Detector by Quantizing Curve Segments with Multiple Distance Metrics”, Proc. of European Conference on Computer Vision (ECCV), 2010. [PDF]

  71. Liang Lin, Kun Zeng, Han Lv, Yizhou Wang, YingQing Xu, and Song-Chun Zhu, “Painterly Animation Using Video Semantics and Feature Correspondence”, Proc. of International Symposium on Non-Photorealistic Animation and Rendering (NPAR), 2010. (Runner-up Best Paper Award) [PDF] [Demo01] [Demo02] [Demo03] [Demo04] [Demo05]

  72. Yi Xie, Liang Lin*, and Yunde Jia, “Tracking Objects with Adaptive Feature Patches for PTZ Camera Visual Surveillance”, Proc. of IEEE International Conference on Pattern Recognition (ICPR), 2010. [PDF]

  73. Liang Lin, Kun Zeng, Xiaobai Liu, and Song-Chun Zhu, “Layered Graph Matching by Composite Cluster Sampling with Collaborative and Competitive Interactions”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. [PDF]

  74. Xiaobai Liu, Liang Lin, Hai Jin, and Song-Chun Zhu, “Trajectory Parsing by Cluster Sampling in Spatio-temporal Graph”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. [PDF]

  75. Youdong Zhao, Haifeng Gong, Liang Lin, and Yunde Jia, “Spatio-temporal Patches for Night Background Modeling by Subspace Learning”, Proc. of IEEE International Conference on Pattern Recognition (ICPR), 2008. [PDF]

  76. Liang Lin, Shaowu Peng, Jake Porway, Song-Chun Zhu, and Yongtian Wang, “An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples”, Proc. of IEEE International Conference on Computer Vision (ICCV), vol. 1: 419-426, 2007. [PDF]

  77. Liang Lin, Song-Chun Zhu, and Yongtian Wang, “Layered Graph Match with Graph Editing”, Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), vol. 1: 885-892, 2007. [PDF]