Preprints

  1. VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning [pdf] [web]
    X. Gao, R. Gong, T. Shu, X. Xie, S. Wang, and S.C. Zhu
    arxiv:1903.05757, 2019

  2. Learning Vector Representation of Content and Matrix Representation of Change: Towards a Representational Model of V1 [pdf]
    R. Gao, J. Xie, S.C. Zhu, and Y. N. Wu
    submitted, 2019

  3. Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model [pdf]
    T. Han*, E. Nijkamp*, X. Fang, M. Hill, S.C. Zhu, Y. N. Wu
    *Equal contributors
    under review, arXiv:1810.10907, 2018

  4. Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion [pdf]
    R. Gao*, J. Xie*, S.C. Zhu, and Y. N. Wu
    *Equal contributors
    under review, arXiv:1810.05597, 2018

  5. Dynamic Pattern Synthesis by Spatial-Temporal Generative ConvNet [pdf]
    J. Xie, S.C. Zhu, and Y. N. Wu
    Under review, by PAMI, 2018.

  6. Cooperative Learning of Descriptor and Generator Networks [pdf] [web]
    J. Xie, Y. Lu, R. Gao, S.C. Zhu, and Y. N. Wu
    IEEE Trans. on Pattern Analysis and Machine Intelligence, (to appear), 2018.

  7. A Restricted Visual Turing Test for Deep Scene and Event Understanding [pdf] [web]
    H. Qi, T. Wu, M. Lee, and S.-C. Zhu
    under review, arXiv:1512.01715

    8. 2019

  8. A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models [pdf]
    Y. N. Wu, R. Gao, T. Han, and S.C. Zhu
    Quarterly of Applied Mathematics, Vol. 77, No. 2, pp423-465, 2019.

  9. Building a Telescope to Look Into High-dimensional Image Spaces [pdf]
    M. Hill, E. Nijkamp, and S.C. Zhu
    Quarterly of Applied Mathematics, Vol. 77, No. 2, pp269-321, 2019.

  10. High-Fidelity Grasping in Virtual Reality using a Glove-based System [pdf] [web]
    H. Liu*, Z. Zhang*, X. Xie, Y. Zhu, Y. Liu, Y. Wang, and S.-C. Zhu
    *Equal contributors
    International Conference on Robotics and Automation (ICRA), 2019

  11. Self-Supervised Incremental Learning for Sound Source Localization in Complex Indoor Environment [pdf] [web]
    H. Liu*, Z. Zhang*, Y. Zhu, and S.-C. Zhu
    *Equal contributors
    International Conference on Robotics and Automation (ICRA), 2019

  12. Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions [pdf] [web]
    H. Liu, C. Zhang, Y. Zhu, C. Jiang, and S.-C. Zhu
    AAAI Conference on Artificial Intelligence (AAAI), 2019

  13. Recognizing Unseen Attribute-Object Pair with Generative Model [pdf]
    Z. Nan*, Y. Liu*, N. Zheng, and S.-C. Zhu
    *Equal contributors
    AAAI Conference on Artificial Intelligence (AAAI), 2019

  14. MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer [pdf] [web]
    C. Zhang, Y. Zhu, and S.-C. Zhu
    AAAI Conference on Artificial Intelligence (AAAI), 2019

  15. Learning Dynamic Generator Model by Alternating Back-Propagation Through Time [pdf] [web]
    J. Xie*, R. Gao*, Z. Zheng, S.-C. Zhu, and Y.N. Wu
    *Equal contributors
    AAAI Conference on Artificial Intelligence (AAAI), 2019

    16. 2018

  16. Exploring generative perspective of convolutional neural networks by learning random field models [pdf]
    Y. Lu, R. Gao, S.C. Zhu, and Y. N. Wu
    Statistics and Its Interface, Volume 11, 515–529, 2018

  17. Configurable 3D Scene Synthesis and 2D Image Rendering with Per-Pixel Ground Truth using Stochastic Grammars [pdf]
    C. Jiang*, S. Qi*, Y. Zhu*, S. Huang*, J. Lin, L. Yu, D. Terzopoulos, and S.-C. Zhu
    *Equal contributors
    International Journal of Computer Vision (IJCV), 126(9): 920-941, 2018

  18. Single-View 3D Scene Reconstruction and Parsing by Attribute Grammar [pdf]
    X. Liu, Y. Zhao, and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 40(3): 710-725, 2018.

  19. Learning and Inferring "Dark Matter" and Predicting Human Intents and Trajectories in Videos [pdf] [web]
    D. Xie, T. Shu, S. Todorovic, and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 40(7): 1639-1652, 2018

  20. Attributed And-Or Grammar for Joint Parsing of Human Pose, Parts and Attributes [pdf] [web]
    S. Park, X. Nie, and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 40(7): 1555-1569, 2018

  21. Sparse and Deep Generalizations of the FRAME Model [pdf]
    Y. N. Wu, J. Xie, Y. Lu, and S.C. Zhu
    Annals of Mathematical Science and Applications, 3(1): 211-254, 2018.

  22. Perception of Human Interaction Based on Motion Trajectories: from Aerial Videos to Decontextualized Animations [pdf]
    T. Shu*, Y. Peng*, L. Fan, H. Lu, and S.-C. Zhu
    *Equal contributors
    Topics in Cognitive Science, 10(1): 225 - 241, 2018

  23. Visual Interpretability for Deep Learning: a Survey [pdf]
    Q.S. Zhang and S.-C. Zhu
    Frontiers of Information Technology & Electronic Engineering, 19(1): 27-39, 2018

  24. Cooperative Holistic Scene Understanding: Unifying 3DObject, Layout, and Camera Pose Estimation [pdf]
    S. Huang, S. Qi, Y. Xiao, Y. Zhu, Y.N. Wu, and S.-C. Zhu
    Neural Information Processing Systems(NIPS), 2018

  25. Learning Human-Object Interactions by Graph Parsing Neural Networks. [pdf]
    S. Qi*, W. Wang*, B. Jia, J. Shen, and S.-C. Zhu
    European Conference on Computer Vision (ECCV), 2018

  26. Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image. [pdf] [web]
    S. Huang, S. Qi, Y. Zhu, Y. Xiao, Y. Xu, and S.-C. Zhu
    European Conference on Computer Vision (ECCV), 2018

  27. Deformable Generator Network: Unsupervised Disentanglement of Appearance and Geometry [pdf]
    X. Xing, R. Gao, T. Han, S.-C. Zhu, and Y. N. Wu
    ICML workshop on Theoretical Foundations and Applications of Deep Generative Models (TADGM), 2018

  28. Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction [pdf] [web]
    S. Qi, B. Jia, and S.C. Zhu
    International Conference on Machine Learning (ICML), 2018

  29. Human Causal Transfer: Challenges for Deep Reinforcement Learning [pdf] [web]
    M. Edmonds*, J. Jubricht*, C. Summers, Y. Zhu, B. Rothrock, S.C. Zhu, and Y. Lu
    Annual Meeting of the Cognitive Science Society (CogSci), 2018

  30. Learning Generative ConvNets via Multi-grid Modeling and Sampling [pdf] [web]
    R. Gao*, Y. Lu*, J. Zhou, S.-C. Zhu, and Y. N. Wu
    Computer Vision and Pattern Recognition (CVPR), 2018

  31. Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks [pdf] [web]
    P. Wei, Y. Liu, T. Shu, N.N. Zheng, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2018

  32. Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification [pdf] [web]
    W. Wang*, Y. Xu*, J. Shen, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2018

  33. Interpretable Convolutional Neural Networks [pdf] [web]
    Q. Zhang, Y. N. Wu, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2018

  34. Inferring Shared Attention in Social Scene Videos [pdf] [web]
    L. Fan*, Y. Chen*, P. Wei, W. Wang, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2018

  35. A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects [pdf] [web]
    Y. Xu*, L. Qin*, X. Liu, J. Xie, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2018

  36. Learning Descriptor Networks for 3D Shape Synthesis and Analysis [pdf] [web]
    J. Xie*, Z. Zheng*, R. Gao, W. Wang, S.-C. Zhu, and Y. N. Wu
    Computer Vision and Pattern Recognition (CVPR), 2018

  37. Human-centric Indoor Scene Synthesis Using Stochastic Grammar [pdf] [web]
    S. Qi, Y. Zhu, S. Huang, C. Jiang, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2018

  38. Intent-aware Multi-agent Reinforcement Learning [pdf]
    S. Qi, and S.-C. Zhu
    International Conference on Robotics and Automation (ICRA), 2018

  39. Interactive Robot Knowledge Patching using Augmented Reality [pdf] [web]
    H. Liu*, Y. Zhang*, W. Si, X. Xie, Y. Zhu, and S.-C. Zhu
    *Equal contributors
    International Conference on Robotics and Automation (ICRA), 2018

  40. Unsupervised Learning of Hierarchical Models for Hand-Object Interactions [pdf] [web]
    X. Xie*, H. Liu*, M. Edmonds, F. Gao, S. Qi, Y. Zhu, B. Rothroth, and S.-C. Zhu
    *Equal contributors
    International Conference on Robotics and Automation (ICRA), 2018

  41. Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events [pdf] [web]
    D. Wang*, J. Kubricht*, Y. Zhu*, W. Liang, S.-C. Zhu, C. Jiang, H. Lu
    *Equal contributors
    IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR), 2018

  42. Scene-centric Joint Parsing of Cross-view Videos [pdf] [web]
    H. Qi*, Y. Xu*, T. Yuan*, T.F. Wu, and S.-C. Zhu
    *Equal contributors
    AAAI Conference on Artificial Intelligence (AAAI), 2018

  43. Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning about Containment Relations and Human Actions [pdf] [web]
    W. Liang, Y. Zhu, and S.-C. Zhu
    AAAI Conference on Artificial Intelligence (AAAI), 2018

  44. Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation [pdf] [web]
    H.-S. Fang*, Yuanlu Xu*, W.G. Wang*, X.B. Liu, and S.-C. Zhu
    *Equal contributors
    AAAI Conference on Artificial Intelligence (AAAI), 2018

  45. Examining CNN Representations With Respect To Dataset Bias [pdf] [web]
    Q.S. Zhang, W.G. Wang, and S.-C. Zhu
    AAAI Conference on Artificial Intelligence (AAAI), 2018

  46. Interpreting CNN Knowledge Via An Explanatory Graph [pdf] [web]
    Q.S. Zhang, R. Cao, F. Shi, Y.N. Wu, and S.-C. Zhu
    AAAI Conference on Artificial Intelligence (AAAI), 2018

  47. Cooperative Learning of Energy-based Model and Latent Variable Model via MCMC Teaching [pdf] [web]
    J. Xie, Y. Lu, R. Gao, and Y.N. Wu
    AAAI Conference on Artificial Intelligence (AAAI), 2018

    48. 2017

  48. Online Object Tracking, Learning and Parsing with And-Or Graphs [pdf] [web]
    T. Wu, Y. Lu, and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 39(12): 2465-2480, 2017.

  49. Modeling 4D Human-Object Interactions for Joint Event Segmentation, Recognition, and Object Localization [pdf] [web]
    P. Wei, Y. Zhao, N. Zheng, and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 39(6): 1165-1179, 2017

  50. Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics [pdf] [web]
    N. Shukla, Y. He, F. Chen, S.-C. Zhu
    Proceedings of Machine Learning Research, vol 78, pp448-457, 2017

  51. The Martian: Examining Human Physical Judgments Across Virtual Gravity Fields [pdf] [web]
    T. Ye*, S. Qi*, J. Kubricht, Y. Zhu, H. Lu, and S.-C. Zhu
    *Equal contributors
    IEEE Trans. Visualization and Computer Graphics, 23(4): 1399-1408, 2017.

  52. Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph [pdf] [web]
    W. Li, J. Joo, H. Qi, and S.-C. Zhu
    IEEE Trans. on Multimedia, 19(2):367-381, 2017.

  53. Predicting Human Activities Using Stochastic Grammar [pdf] [web]
    S. Qi, S. Huang, P. Wei, and S.-C. Zhu
    International Conference on Computer vision (ICCV), 2017

  54. Monocular 3D Human Pose Estimation by Predicting Depth on Joints [pdf] [web]
    X. Nie*, P. Wei*, and S.-C. Zhu
    *Equal contributors
    International Conference on Computer vision (ICCV), 2017

  55. Jointly Recognizing Object Fluents and Tasks in Egocentric Videos [pdf] [web]
    Y. Liu*, P. Wei*, and S.-C. Zhu
    *Equal contributors
    International Conference on Computer vision (ICCV), 2017

  56. Feeling the Force: Integrating Force and Pose for Fluent Discovery through Imitation Learning to Open Medicine Bottles [pdf] [web]
    M. Edmonds*, F. Gao*, X. Xie, H. Liu, S. Qi, Y. Zhu, B. Rothrock, and S.-C. Zhu
    *Equal contributors
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017

  57. A Glove-based System for Studying Hand-Object Manipulation via Joint Pose and Force Sensing [pdf] [web]
    H. Liu*, X. Xie*, M. Millar*, M. Edmonds, F. Gao, Y. Zhu, V. J. Santos, B. Rothrock, and S.-C. Zhu
    *Equal contributors
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017

  58. Single-Image 3D Scene Parsing Using Geometric Commonsense [pdf] [web]
    C. Yu, X. Liu, and S.-C. Zhu
    International Joint Conference on Artificial Intelligence (IJCAI), 2017

  59. Inferring Human Attention by Learning Latent Intentions [pdf] [web]
    P. Wei, X. Dan, N. Zheng, and S.-C. Zhu
    International Joint Conference on Artificial Intelligence (IJCAI), 2017

  60. Inferring Hidden Statuses and Actions in Video by Causal Reasoning [pdf] [web]
    A. Fire, and S.-C. Zhu
    CVPR Workshop on Vision Meets Cognition: Functionality, Physics, Intentionality and Causality (FPIC), 2017.

  61. CERN: Confidence-Energy Recurrent Network for Group Activity Recognition [pdf]
    T. Shu, S. Todorovic, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2017

  62. Mining Object Parts from CNNs via Active Question-Answering [pdf] [web]
    Q. Zhang, R. Cao, Y.N. Wu, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2017

  63. Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet [pdf] [web]
    J. Xie, S.-C. Zhu, and Y.N. Wu
    Computer Vision and Pattern Recognition (CVPR), 2017

  64. Generative Hierarchical Learning of Sparse FRAME Models [pdf] [web]
    J. Xie, Y. Xu, E. Nijkamp, Y.N. Wu, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2017

  65. Inferring Human Interaction from Motion Trajectories in Aerial Videos [pdf][web]
    T. Shu, Y. Peng, L. Fan, H. Lu, and S.-C. Zhu
    Annual Meeting of the Cognitive Science Society (CogSci), 2017

  66. Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics [pdf] [web]
    J. Kubricht*, Y. Zhu*, C. Jiang*, D. Terzopoulos, S.-C. Zhu, and H. Lu
    *Equal contributors
    Annual Meeting of the Cognitive Science Society (CogSci), 2017

  67. Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task [pdf] [web]
    J. Lin*, Y. Zhu*, J. Kubricht*, S.-C. Zhu, and H. Lu
    *Equal contributors
    Annual Meeting of the Cognitive Science Society (CogSci), 2017

  68. Learning Social Affordance Grammar from Videos: Transferring Human Interactions to Human-Robot Interactions [pdf] [web]
    T. Shu, X. Gao, M. Ryoo, and S.-C. Zhu
    International Conference on Robotics and Automation (ICRA), 2017

  69. Alternating Back-Propagation for Generator Network [pdf] [web]
    T. Han, Y. Lu, S.-C. Zhu, and Y.N. Wu
    AAAI Conference on Artificial Intelligence (AAAI), 2017

  70. Cross-view People Tracking by Scene-Centered Spatio-Temporal Parsing [pdf]
    Y. Xu, X. Liu, L. Qin, and S.-C. Zhu
    AAAI Conference on Artificial Intelligence (AAAI), 2017

  71. Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning [pdf] [web]
    Q. Zhang, R. Cao, Y.N. Wu, and S.-C. Zhu
    AAAI Conference on Artificial Intelligence (AAAI), 2017

  72. Inferring Context through Scene Understanding [pdf]
    M. Walton, D. Lange, and S.-C. Zhu
    AAAI Conference on Artificial Intelligence (AAAI) Symposium on Computational Context, 2017

    73. 2016

  73. Learning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation [pdf]
    T. Wu, B. Li, and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 38(9): 1829-1843, 2016

  74. Integrating Function, Geometry, Appearance for Scene Parsing [pdf] [web]
    Y. Zhao and S.-C. Zhu
    International Journal urnal of Computer Vision (IJCV), 2016

  75. A Reconfigurable Tangram Model for Scene Representation and Categorization [pdf]
    J. Zhu, T. Wu, B. Li, S.-C. Zhu, X. Yang, and W. Zhang
    IEEE Trans. on Image Processing, 25(1): 150-166, 2016

  76. Learning Perceptual Causality from Video [pdf]
    A. Fire and S.-C. Zhu
    ACM Trans. on Intelligent Systems and Technology (Special Issue on Causal Discovery and Inference), 7(2): 23:1-23:22, 2016

  77. Inducing Wavelets into Random Fields via Generative Boosting [pdf] [web]
    J. Xie, Y. Lu, S.-C. Zhu, and Y.N. Wu
    Applied and Computational Harmonic Analysis, 2016

  78. A Virtual Reality Platform for Dynamic Human-Scene Interaction [pdf] [web]
    J. Lin*, X. Guo*, J. Shao*, C. Jiang, Y. Zhu, and S.-C. Zhu
    *Equal contributors
    SIGGRAPH Asia, Virtual Reality Meets Physical Reality Workshop, 2016

  79. Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration [pdf]
    C. Liu, S. Yang, S. Saba-Sadiya, N. Shukla, Y. He, S.-C. Zhu, and J. Chai
    Empirical Methods in Natural Language Processing (emNLP), 2016

  80. Inferring Human Intent from Video by Sampling Hierarchical Plans [pdf]
    S. Holtzen, Y. Zhao, T. Gao, J. Tenenbaum, and S.-C. Zhu
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016

  81. What is Where: Inferring Containment Relations from Videos [pdf] [web]
    W. Liang, Y. Zhao, Y. Zhu, and S.-C. Zhu
    International Joint Conference on Artificial Intelligence (IJCAI), 2016

  82. Learning Social Affordance for Human-Robot Interaction [pdf] [web]
    T. Shu, M. Ryoo, and S.-C. Zhu
    International Joint Conference on Artificial Intelligence (IJCAI), 2016

  83. A Theory of Generative ConvNet [pdf] [web]
    J. Xie, Y. Lu, S.-C. Zhu, and Y.N. Wu
    International Conference on Machine Learning (ICML), 2016

  84. Grounded Semantic Role Labeling [pdf]
    S. Yang, Q. Gao, C. Liu, C. Xiong, S.-C. Zhu, and J. Chai
    North American Chapter of the Association for Computational Linguistics (NA-ACL), 2016

  85. Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem [pdf] [web]
    J. Kubricht*, C. Jiang*, Y. Zhu*, S.-C. Zhu, D. Terzopoulos, and H. Lu
    *Equal contributors
    Annual Meeting of the Cognitive Science Society (CogSci), 2016

  86. Critical Features of Joint Actions that Signal Human Interaction [pdf]
    T. Shu, S. Thurman, D. Chen, S.-C. Zhu, and H. Lu
    Annual Meeting of the Cognitive Science Society (CogSci), 2016

  87. Multi-view People Tracking via Hierarchical Trajectory Composition [pdf]
    Y. Xu, X. Liu, Y. Liu, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2016

  88. Recognizing Car Fluents from Video [pdf] [web][Dataset]
    B. Li, T. Wu, C. Xiong, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2016

  89. Inferring Forces and Learning Human Utilities from Video [pdf] [web]
    Y. Zhu*, C. Jiang*, Y. Zhao, D. terzopoulos and S.-C. Zhu
    *Equal contributors
    Computer Vision and Pattern Recognition (CVPR), 2016

  90. Robot Learning with a Spatial, Temporal, and Causal And-Or Graph [pdf] [web]
    C. Xiong, N. Shukla, W. Xiong, and S.-C. Zhu
    International Conference on Robotics and Automation (ICRA), 2016

  91. Learning FRAME Models Using CNN Filters [pdf] [web]
    Y. Lu, S.-C. Zhu, and Y.N. Wu
    AAAI Conference on Artificial Intelligence (AAAI), 2016

  92. Task Learning through Visual Demonstration andSituated Dialogue [pdf]
    C. Liu, J. Chai, N. Shukla and S.C.Zhu
    AAAI Workshop on Symbiotic Cognitive Systems, 2016

    93. 2015

  93. Learning Hierarchical Space Tiling for Scene Modeling, Parsing and Attribute Tagging [pdf] [web]
    S. Wang, Y.Z. Wang, and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 37(12): 2478-2491, 2015

  94. Learning 3D Object Templates by Quantizing Geometry and Appearance Spaces [pdf] [web]
    W. Hu and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 37(6): 1190-1205, 2015

  95. Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection [pdf] [web]
    T. Wu and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 37(5): 1013-1027, 2015

  96. Scene Understanding by Reasoning Stability and Safety [pdf] [web]
    B. Zheng, Y. Zhao, J. Yu, K. Ikeuchi, and S.-C. Zhu
    International Journal urnal of Computer Vision (IJCV), 112(2): 221-238, 2015

  97. Learning Sparse FRAME Models for Natural Image Patterns [pdf] [web]
    J. Xie, W. Hu, S.-C. Zhu, and Y.N. Wu
    International Journal urnal of Computer Vision (IJCV), 114(2-3): 91-112, 2015

  98. Video Primal Sketch: A Unified Middel Level Representation of video [pdf] [web]
    Z. Han, Z. Xu, and S.-C. Zhu
    Journal of Mathematical Imaging and Vision, 53(2): 151-170, 2015

  99. Mapping Energy Landscapes of Non-Convex Learning Problems [pdf]
    M. Pavlovskaia, K. Tu, and S.-C. Zhu
    arXiv: 1410.0576, short version appears at EMMCVPR 2015

  100. Attributed Grammars for Joint Estimation of Human Attributes, Parts and Poses [pdf] [web]
    S. Park and S.-C. Zhu
    International Conference on Computer vision (ICCV), 2015

  101. Mining And-Or Graphs for Graph Matching and Object Discovery [pdf]
    Q. Zhang, Y.N. Wu, and S.-C. Zhu
    International Conference on Computer vision (ICCV), 2015

  102. Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face [pdf]
    J. Joo, F. Steen, and S.-C. Zhu
    International Conference on Computer vision (ICCV), 2015

  103. A Unified Framework for Human-Robot Knowledge Transfer
    N. Shukla, C. Xiong, and S.-C. Zhu
    AAAI Symposium on Artificial Intelligence and Human-Robot Interaction (AI-HRI), 2015

  104. Represent and Infer Human Theory of Mind for Human-Robot Interaction [pdf]
    Y. Zhao, S. Holtzen, T. Gao, and S.-C. Zhu
    AAAI Symposium on Artificial Intelligence and Human-Robot Interaction (AI-HRI), 2015

  105. Understanding Tools: Task-Oriented Object Modeling, Learning and Recognition [pdf] [web]
    Y. Zhu*, Y. Zhao*, and S.-C. Zhu
    *Equal contributors
    Computer Vision and Pattern Recognition (CVPR), 2015

  106. Joint Inference of Groups, Events and Human Roles in Aerial Videos [pdf] [web]
    T. Shu, D. Xie, B. Rothrock, S. Todorovic, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2015

  107. Joint Action Recognition and Pose Estimation From Video [pdf]
    X. Nie, C. Xiong, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2015

  108. Evaluating Human Cognition of Containing Relations with Physical Simulation [pdf] [web]
    W. Liang, Y. Zhao, Y. Zhu, and S.-C. Zhu
    Annual Cognitive Science Conference (CogSci), 2015

  109. Mapping Energy Landscapes of Non-Convex Learning Problems [pdf]
    M. Pavlovskaia, K. Tu, and S.-C. Zhu
    Energy Minimization Method for Computer Vision and Pattern Recognition (EMMCVPR), 2015

    110. 2014

  110. Animated Pose Templates for Modeling and Detecting Human Actions [pdf] [web]
    B. Yao, B. Nie, Z. Liu, and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 36(3): 436-452, 2014

  111. Learning Mixtures of Bernoulli Templates by Two-Round em with Performance Guarantee [pdf] [slides]
    A. Barbu, T. Wu, and Y.N. Wu
    Electronic Journal of Statistics (EJS), 2014

  112. Joint Video and Text Parsing for Understanding Events and Answering Queires [pdf] [web]
    K. Tu, M. Meng, M. Lee, T. Choi, and S.-C. Zhu
    IEEE MultiMedia, 21(2): 42-70, 2014

  113. Unsupervised Learning ofCompositional Sparse Code for Natural Image Representation [pdf] [web]
    Y. Hong, Z. Si, W. Hu, S.-C. Zhu, and Y.N. Wu
    Quarterly of Applied Mathematics, 2014

  114. Integrating Context and Occlusion forCar Detection by Hierarchical And-Or Model [pdf] [web]
    B. Li, T. Wu, and S.-C. Zhu
    European Conference on Computer Vision (ECCV), 2014

  115. Visual Persuasion: Inferring the Communicative Intents of Images [pdf] [web]
    J. Joo, W. Li, F. Steen, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2014

  116. Cross-View Action Modeling, Learning and Recognition [pdf] [web]
    J. Wang, B. Nie, Y.N. Wu, and S.-C. Zhu
    of Computer Vision and Pattern Recognition (CVPR), 2014.

  117. Single-View 3D Scene Parsing by Attributed Grammar [pdf] [web]
    X. Liu, Y. Zhao, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2014

  118. Online Object Tracking, Learning and Parsing with And-Or Graphs [pdf] [web]
    Y. Lu, T. Wu and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2014

  119. Learning Inhomogeneous FRAME Modelsfor Object Patterns [pdf] [web]
    J. Xie. W. Hu, S.-C. Zhu, and Y.N. Wu
    Computer Vision and Pattern Recognition (CVPR), 2014

  120. Unsupervised Learning of Dictionaries of Hierarchical Compositional Models [pdf] [web]
    J. Dai, Y. Hong, W. Hu, S.-C. Zhu, and Y.N. Wu
    Computer Vision and Pattern Recognition (CVPR), 2014

  121. Detecting Potential Falling Objects by Inferring Human Action and Natural Disturbance [pdf] [web]
    B. Zheng, Y. Zhao, J. Yu, K. Ikeuchi, and S.-C. Zhu
    International Conference on Robotics and Automations (ICRA), 2014

    122. 2013

  122. Learning And-Or Templatesfor Object Modeling and Recognition [pdf] [web with data and code]
    Z. Si and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 35(9): 2189-2205, 2013

  123. Video Event Parsingand Learning with Goal and Intent Prediction [pdf] [web]
    M. Pei, Z. Si, B. Yao, and S.-C. Zhu
    Computer Vision and Image Understanding (CVIU), 117(10): 1369-1383, 2013

  124. Abstract Painting with Interactive Control of Perceptual Entropy [pdf] [web] [reprint]
    M. Zhao and S.-C. Zhu
    ACM Trans. on Applied Perception, 10(1): 5:1-5:21, 2013

  125. Video Stylization: Painterly Rendering and Optimization with Content Extraction [pdf] [web]
    L. Lin, K. Zeng, Y. Wang, Y.-Q. Xu, and S.-C. Zhu
    IEEE Trans. on Circuits and Systems for Video Technology, 23(4): 577-590, 2013

  126. Unsupervised Structure Learning of Stochastic And-Or Grammars [pdf] [web]
    K. Tu, M. Pavlovskaia, and S.-C. Zhu
    Neural Information Processing Systems (NIPS), 2013

  127. Inferring "Dark Matter" and "Dark Energy" from Videos [pdf] [web]
    D. Xie, S. Todorovic, and S.-C. Zhu
    Int’l Conference on Computer Vision (ICCV), 2013

  128. Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection [pdf] [web]
    T. Wu and S.-C. Zhu
    Int’l Conference on Computer Vision (ICCV), 2013

  129. Monte Carlo Tree Search for Scheduling Activity Recognition [pdf]
    M. Amer, S. Todorovic, A. Fern, and S.-C. Zhu
    Int’l Conference on Computer Vision (ICCV), 2013

  130. Human Attribute Recognition by Rich Appearance Dictionary [pdf] [web]
    J. Joo, S. Wang, and S.-C. Zhu
    Int’l Conference on Computer Vision (ICCV), 2013

  131. Cosegmentation and Cosketch by Unsupervised Learning [pdf] [web]
    J. Dai, Y.N. Wu, J. Zhou, and S.-C. Zhu
    Int’l Conference on Computer Vision (ICCV), 2013

  132. Concurrent Action Detection with Structural Prediction [pdf] [web]
    P. Wei, N. Zheng, Y. Zhao, and S.-C. Zhu
    Int’l Conference on Computer Vision (ICCV), 2013

  133. Modeling Occlusion by Discriminative AND-OR Structures [pdf] [web]
    B. Li, W. Hu, T. Wu, and S.-C. Zhu
    Int’l Conference on Computer Vision (ICCV), 2013

  134. Modeling 4D Human-Object Interactions for Event and Object Recognition [pdf] [web]
    P. Wei, Y. Zhao, N. Zheng, and S.-C. Zhu
    Int’l Conference on Computer Vision (ICCV), 2013

  135. Rates for Inductive Learning of Compositional Models [pdf]
    A. Barbu, M. Pavlovskaia, and S.-C. Zhu
    AAAI Workshop on Learning Rich Representations from Low-Level Sensors (RepLearning), 2013

  136. Scene Parsing by Integrating Function, Geometry and Appearance Models [pdf] [web]
    Y. Zhao and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2013

  137. Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics [pdf] [web]
    B. Zheng, Y. Zhao, J. Yu, K. Ikeuchi, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2013

  138. Integrating Grammar and Segmentation forHuman Pose Estimation [pdf] [web]
    B. Rothrock, S. Park, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2013

  139. Discriminatively Trained And-Or Tree Models for Object Detection [pdf] [web]
    X. Song, T. Wu, Y. Jia, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2013

  140. Weakly Supervised Learning for Attribute Localization in Outdoor Scenes [pdf] [web]
    S. Wang, J. Joo, Y. Wang, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2013

  141. Using Causal Induction in Humans to Learn and Infer Causality from Video [pdf] [poster]
    A. Fire and S.-C. Zhu
    Annual Meeting of the Cognitive Science Society (CogSci), 2013

  142. Learning Perceptual Causality from Video [pdf] [slides] [poster]
    A. Fire and S.-C. Zhu
    AAAI Workshop on Learning Rich Representations from Low-Level Sensors (RepLearning), Bellvue, WA, 2013

    143. 2012

  143. Learning Hybrid image Template (HiT) by Information Projection [pdf] [web]
    Z. Si and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 34(7): 1354-1367, 2012

  144. Intrackability: Characterizing Video Statistics and Pursuing Video Representations [pdf] [web]
    H. Gong and S.-C. Zhu
    International Journal urnal of Computer Vision (IJCV), 97(3): 255-275, 2012

  145. Background Modeling by Subspace Learning on Spatio-temporal Patches [reprint]
    Y. Zhao, H. Gong, Y. Jia, and S.-C. Zhu
    Pattern Recognition Letter, 33(9): 1134-1147, 2012

  146. Cost-Sensitive Top-down/Bottom-up Inference for Multiscale Activity Recognition [pdf] [web]
    M. Amer, D. Xie, M. Zhao, S. Todorovic, and S.-C. Zhu
    European Conference on Computer Vision (ECCV), 2012

  147. Hierarchical Space Tiling for Scene Modelling [pdf]
    S. Wang, Y. Wang, and S.-C. Zhu
    Asia Conference on Computer Vision (ACCV), 2012

  148. Reconfigurable Templates for Robust Vehicle Detection and Classification [pdf]
    Y. Lu, B. Yao, Y. Wang, and S.-C. Zhu
    Workshop on Application of Computer Vision (WACV), 2012

  149. Learning Reconfigurable Scene Representation by Tangram Model [pdf]
    J. Zhu, T. Wu, S.-C. Zhu, X. Yang, and W. Zhang
    Workshop on Application of Computer Vision (WACV), 2012

  150. Artistic Rendering of Portraits
    M. Zhao and S.-C. Zhu
    Book Chapter in Image and Video based Artistic Stylization, Eds. J. Collomosse and P. Rossin, Springer, 2012

  151. Hierarchical Organization by And-Or Tree
    J. Joo, S. Wang, and S.-C. Zhu
    Book Chapter in Handbook of Perceptual Organization, Eds. J. Wagemans, Springer, 2012

  152. Structure v.s. Appearance and 3D v.s. 2D? A Numeric Answer
    W. Hu, Z. Si, and S.-C. Zhu
    Book Chapter in Shape Perception in Human and Computer Vision: An Interdisciplinary Perspective, Eds. S. Dickinson and Z. Pizlo, Springer, 2012

  153. Learning 3D Object Templates by Hierarchical Quantization of Geometry and Appearance Spaces [pdf] [web]
    W. Hu and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2012

    154. 2011

  154. C4: Computing Multiple Solutions in Graphical Models by Cluster Sampling [pdf] [web]
    J. Porway and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 33(9): 1713-1727, 2011

  155. A Numeric Study of the Bottom-up and Top-down Inference Processes in And-Or Graphs [pdf] [web]
    T. Wu and S.-C. Zhu
    International Journal urnal of Computer Vision (IJCV), 93(2): 226-252, 2011

  156. Image Parsing via Stochastic Scene Grammar [pdf] [web]
    Y. Zhao and S.-C. Zhu
    Neural Information Processing Systems (NIPS), 2011

  157. Unsupervised Learning of Stochastic And-Or Templates for Object modeling [pdf]
    Z. Si and S.-C. Zhu
    International Workshop on Stochastic Image Grammar (SIG), 2011

  158. Human Parsing using Stochastic And-Or grammar and Rich Appearance [pdf]
    B. Rothrock and S.-C. Zhu
    International Workshop on Stochastic Image Grammar (SIG), 2011

  159. Parsing Video Events with Goal inference and Intent Prediction [pdf] [web]
    M. Pei, Y. Jia, and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2011

  160. Unsupervised Learning of Event And-Or Grammar and Semantics from Video [pdf] [web]
    Z. Si, M. Pei, Z. Yao, and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2011

  161. Image Representation by Active Curves [pdf]
    W. Hu, Y.N. Wu, and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2011

  162. Video Primal Sketch: A Generic Middle-Level Representation of Video [pdf] [web]
    Z. Han, Z. Xu, and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2011

  163. Inferring Social Roles in Long Timespan Video Sequence [pdf]
    J. Zhang, W. Hu, B. Yao, Y. Wang, and S.-C. Zhu
    International Workshop on Video Event Categorization, Tagging and Retrieval for Real World Applications, 2011

  164. Customizing Painterly Rendering Styles Using Stroke Processes [preprint] [web]
    M. Zhao and S.-C. Zhu
    International Symposium on Non-Photorealistic Animation and Rendering (NPAR), 2011

  165. Portrait Painting Using Active Templates [preprint] [web]
    M. Zhao and S.-C. Zhu
    International Symposium on Non-Photorealistic Animation and Rendering (NPAR), 2011

    166. 2010

  166. A Compositional and Dynamic Model for Face Aging [pdf] [web]
    J. Suo, S.-C. Zhu, S. Shan, and X. Chen
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 32(3): 385-401, 2010

  167. Layered Graph Matching by Composite Cluster Sampling
    L. Lin, X. Liu, and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 32(8): 1426-1442, 2010

  168. LearningActive Basis Model for Object Detection and Recognition [pdf] [reprint]
    Y.N. Wu, Z. Si, H. Gong, and S.-C. Zhu
    International Journal urnal of Computer Vision (IJCV), 90(2): 198-235, 2010

  169. Hierarchical and Contextual Model for Aerial Image Understanding [pdf] [web]
    J. Porway, K. Wang, and S.-C. Zhu
    International Journal urnal of Computer Vision (IJCV), 88(2): 254-283, 2010

  170. I2T: Image Parsing to Text Description [pdf] [web]
    Z. Yao, X. Yang, L. Lin, M. Lee, and S.-C. Zhu
    Proceedings of the IEEE (Special Issue on Internet Vision), 98(8): 1485-1508, 2010

  171. Learning Active Basis Models by em-Type Algorithms [pdf]
    Z. Si, H. Gong, S.-C. Zhu, and Y.N. Wu
    Statistical Science, 2010

  172. CO3 for Ultra-fast and Accurate Interactive Segmentation [pdf] [web]
    Y. Zhao, S.-C. Zhu, and S.W. Luo
    ACM conference on Multimedia (MM), 2010

  173. Artistic Paper-cut of Human Portraints [pdf] [web]
    M. Meng, M. Zhao, and S.-C. Zhu
    ACM conference on Multimedia (MM), 2010

  174. Sisley the Abstract Painter [pdf] [web]
    M. Zhao and S.-C. Zhu
    International Symposium on Non-Photorealistic Animation and Rendering (NPAR), 2010

  175. Painterly Animation Using Video Semantics and Feature Correspondence [pdf] [web]
    L. Lin K. Zeng, H. Lv, Y. Wang, Y. Xu, and S.-C. Zhu
    International Symposium on Non-Photorealistic Animation and Rendering (NPAR), 2010

  176. Learning Artistic Lighting Template from Portrait Photographs [preprint] [web]
    X. Jin, M. Zhao, X. Chen, Q. Zhao, S.-C. Zhu
    European Conference on Computer Vision (ECCV), 2010

  177. Learning a Probabilistic ModelMixing 3D and 2DPrimitives for View Invariant Object Recognition [pdf] [web]
    W. Hu and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2010

  178. Discovering Scene Categories by Information Projection and Cluster Sampling [pdf]
    D. Dai, T. Wu, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2010

    179. 2009

  179. Bottom-up/Top-down Image Parsing with Attribute Graph Grammar
    F. Han and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2009 [pdf] [reprint]

  180. From Image Parsing to Painterly Rendering [reprint]
    K. Zeng, M. Zhao, C. Xiong, and S.-C. Zhu
    ACM Trans. on Graphics (TOG), 29(1): 2:1-2:11, 2009

  181. Learning Explicit and Implicit Visual Manifolds by Information Projection [pdf] [reprint]
    S.-C. Zhu, K. Shi, and Z. Si
    Pattern Recognition Letter (invited paper for the Aggarwal Lecture), August 2009

  182. An And-or Graph Model for Face Representation, Sketching and Aging [pdf]
    F. Min, J. Suo, and S.-C. Zhu
    Book Chapter inEncyclopedia of Biometric Recognition, Springer, 2009

  183. Learning Deformable Action Templates from Cluttered Videos [pdf]
    B. Yao and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2009

  184. Evaluating Information Contributions of Bottom-up and Top-down Processes [pdf]
    X. Yang, T. Wu, and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2009

  185. Learning Mixed Templates for Object Recognition [pdf]
    Z. Si, H. Gong, Y.N. Wu, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2009

  186. Flow Mosaicking: Real-time Pedestrian Counting without Scene-Specific Learning
    Y. Cong, H. Gong, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2009

  187. Trajectory Parsing by Cluster Sampling in Spatio-Temporal Graph [pdf]
    X. Liu, L. Lin, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2009

  188. Layered Graph Matching by Composite Clustering with Collaborative and Competitive Interactions
    L. Lin, K. Zeng, X. Liu, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2009

  189. Learning Compositional Models for Object Categories from Small Sample Sets [pdf]
    J. Porway, B. Yao, and S.-C. Zhu
    Book Chapter in Object Categorization: Computer and Human Vision Perspectives, Eds. Sven Dickinson et al., Cambridge University Press, 2009

    190. 2008

  190. A Composite Template for Human Face Modeling and Sketch [pdf] [reprint]
    Z. Xu, H. Chen, S.-C. Zhu, and J. Luo
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2008

  191. Perceptual Scale Space and Its Applications [pdf] [reprint]
    Y. Wang and S.-C. Zhu
    International Journal urnal of Computer Vision (IJCV), 80(1): 143-165, 2008

  192. A Hierarchical and Contextual Model for Aerial Image Understanding [pdf]
    J. Porway, K. Wang, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2008

  193. An Integrated Background Model for Video Surveillance Based on Primal Sketch and 3D Scene Geometry [pdf]
    W. Hu, H. Gong, S.-C. Zhu, and Y. Wang
    Computer Vision and Pattern Recognition (CVPR), 2008

  194. Learning a Scene Contextual Model for Tracking and Abnormality Detection [pdf]
    B. Yao, L. Wang, and S.-C. Zhu
    International Workshop on Semantic Learning and Applications in Multimedia, 2008

  195. SAVE: A Framework for Semantic Annotation of Visual Events [pdf]
    M. Lee, A. Hakeem, N. Haering, and S.-C. Zhu
    International Workshop on Internet Vision, 2008

    196. 2007

  196. A Two-Level Generative Model for Cloth Representation and Shape-From-Shading [pdf]
    F. Han and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 29(7): 1230-1243, 2007

  197. From Information Scaling of Natural Images to Regimes of Statistical Models [preprint]
    Y.N. Wu, C. Guo, and S.-C. Zhu
    Quarterly of Applied Mathematics, 2007

  198. Primal Sketch: Integrating Texture and Structure [pdf] [reprint]
    C. Guo, S.-C. Zhu, and Y.N. Wu
    Computer Vision and Image Understanding (CVIU), 106(1): 5-19, 2007

  199. Generalizing Swendsen-Wang for Image Analysis [long survey]
    A. Barbu and S.-C. Zhu
    Journal of Computational and Graphical Statistics, 2007

  200. Statistical Principles in Image Modeling [pdf]
    Y.N. Wu, J. Li. Z. Liu, and S.-C. Zhu
    Technometrics, 49(3): 249-261, 2007

  201. Deformable Template as Active Basis [pdf]
    Y.N. Wu, Z. Si, C. Fleming, and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2007

  202. An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples [pdf]
    L. Lin, S. Peng, J. Porway, S.-C. Zhu, and Y. Wang
    International Conference on Computer Vision (ICCV), 2007

  203. Introduction to a Large Scale General Purpose Groundtruth Dataset: Methodology, Annotation tool, and Benchmarks [pdf]
    Z. Yao, X. Yang, and S.-C. Zhu
    International Conference on Energy Minimization Methods in CVPR (EMMCVPR), 2007

  204. Object Category Recognition using Generative Template Boosting
    S. Peng, L. Lin, J. Porway, N. Sang, and S.-C. Zhu
    International Conference on Energy Minimization Methods in CVPR (EMMCVPR), 2007

  205. An Automatic Portrait System Based on And-Or Graph Representation [pdf]
    F Min, J. Suo, S.-C. Zhu, and N. Sang
    International Conference on Energy Minimization Methods in CVPR (EMMCVPR), 2007

  206. Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis
    Z. Li, H. Gong, S.-C. Zhu, and N. Sang
    International Conference on Energy Minimization Methods in CVPR (EMMCVPR), 2007

  207. Bayesian Inference for Layer Representation with Mixed Markov Random Field [pdf]
    R. Gao, T. Wu, N. Sang, and S.-C. Zhu
    International Conference on Energy Minimization Methods in CVPR (EMMCVPR), 2007

  208. Mapping the Ensemble of Natural Image Patches by Emplicit and Implicit Manifolds [pdf]
    K, Shi and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2007

  209. Compositional Boosting for Computing Hierarchical Image Structures [pdf]
    T. Wu, G. Xia, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2007

  210. Layered Graph Matching with Graph Editing [pdf]
    L. Lin, S.-C. Zhu and Y. Wang
    Computer Vision and Pattern Recognition (CVPR), 2007

  211. A Multi-Resolution Dynamic Model for Face Aging Simulation [pdf]
    J. Suo, F. Min, S.-C. Zhu, S. Shan, and X. Chen
    Computer Vision and Pattern Recognition (CVPR), 2007

    212. 2006

  212. A Genrative Sketch Model for Human Hair Analysis and Synthesis [pdf] [reprint]
    H. Chen and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 28(7): 1025-1040, 2006

  213. Parsing Images into Regions, Curves, and Curve Groups [pdf] [reprint]
    Z. Tu and S.-C. Zhu
    International Journal urnal of Computer Vision (IJCV), 69(2): 223-249, 2006

  214. First-hitting-time Analysis of Independence Metropolis Sampler [pdf] [reprint] A version published at SCTV03 for Vision audience [pdf]
    R. Maciuca and S.-C. Zhu
    Journal of Theoretical Probability, 2006

  215. A Stochastic Grammar of Images [pdf] [reprint]
    S.-C. Zhu and D. Mumford
    Foundations and Trends in Computer Graphics and Vision, 2(4): 259-362, 2006

  216. Composite Templates for Cloth Modeling and Sketching [pdf]
    H. Chen, Z. Xu, Z. Liu, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2006

    217. 2005

  217. Generalizing Swendsen-Wangto Sampling Arbitrary Posterior Probabilities [pdf] [reprint]
    A. Barbu and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 27(8): 1239-1253, 2005

  218. What are Textons? [pdf] [reprint]
    S.-C. Zhu, C. Guo, Y. Wang, and Z. Xu
    International Journal of Computer Vision (IJCV), 62(1-2): 121-143, 2005

  219. Image parsing: Unifying Segmentation, Detection and Recognition [pdf] [reprint]
    Z. Tu, X. Chen, A. Yuille, and S.-C. Zhu
    International Journal of Computer Vision (IJCV), 63(2): 113-140, 2005

  220. Incorporating Visual Knowledge Representation in Stereo Reconstruction [pdf]
    A. Barbu and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2005

  221. Perceptual Scale Space and It Applications [pdf]
    Y. Z. Wang, S. Bahrami, and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2005

  222. Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar [pdf]
    F. Han and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2005

  223. A generative model of human hair for hair sketching [pdf]
    H. Chen and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2005

  224. A High Resolution Grammatical Model for Face Representation and Sketching [pdf]
    Z. Xu, H. Chen, and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2005

  225. Cloth Representation by Shape from Shading with Shading Primitives [pdf]
    F. Han and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2005

    226. 2004

  226. Range Image Segmentation by an Effective Jump-Diffusion Method [pdf] [reprint]
    F. Han, Z. Tu, and S.-C. Zhu,
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 26(9): 1138-1153, 2004

  227. Analysis and Synthesis of Textured Motion: Particles and Waves [pdf] [reprint]
    Y. Wang and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 26(10): 1348-1363, 2004

  228. Perceptual Scaling [pdf]
    Y.N. Wu, C. Guo, and S.-C. Zhu
    Book Chapter in Applied Bayesian Modeling and Causal Inference from an Incomplete Data Perspective, Eds. A. Gelman and X.L. Meng, John Wiley, 2004.

  229. Modeling Complex Motion by Tracking and Editing Hidden Markov Graphs [pdf]
    Y. Wang and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2004

  230. Information Scaling Laws in Natural Scenes [pdf]
    C. Guo, Y.N. Wu, and S.-C. Zhu
    Workshop on Generative Model Based Vision, 2004

  231. Multigrid and Multi-level Swendsen-Wang Cuts for Hierarchic Graph Partition [pdf]
    A. Barbu and S.-C. Zhu
    Computer Vision and Pattern Recognition (CVPR), 2004

  232. On the Relationship between Image and Motion Segmentation [pdf]
    A. Barbu and S.-C. Zhu
    Workshop on Spatial Coherence for Visual Motion Analysis, 2004

  233. Automatic Single View Building Reconstruction by Integrating Segmentation
    F. Han and S.-C. Zhu
    Workshop on Perceptual Organization in Computer Vision, 2004

    234. 2003

  234. Statistical Edge Detection: Learning and Evaluating Edge Cue [ps.gz] [reprint]
    S. Kinishi, A. Yuille, J. Coughlan, and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 25(1): 57-74, 2003

  235. Statistical Modeling and Conceptualization of Visual Patterns [pdf] [reprint]
    S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 25(6): 691-712, 2003

  236. Modeling Visual Patterns by Integrating Descriptive and Generative Models [ps.gz] [reprint]
    C. Guo, S.-C. Zhu, and Y.N. Wu
    International Journal of Computer Vision (IJCV), 53(1): 5-29, 2003

  237. On Advances in Statistical Modeling of Natural Images [pdf]
    A. Srivastava, A. Lee, E. Simoncelli, and S.-C. Zhu
    Journal of Math Imaging and Vision, 2003

  238. A Mathematical Theory of Primal Sketch and Sketchability [demo] [pdf]
    C. Guo, S.-C. Zhu, and Y.N. Wu
    International Conference on Computer Vision (ICCV), 2003

  239. Image Parsing: Segmentation, Detection, and Recognition [demo] [pdf]
    Z. Tu, X. Chen, A. Yuille, and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2003

  240. Modeling Textured Motion: Particles, Waves, and Cartoon Sketch [demo] [pdf]
    Y. Wang and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2003

  241. Graph Partition by Swendsen-Wang Cut [demo] [pdf]
    A. Barbu and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2003

  242. A Multiscale Generative Model for Animate Shape and Parts [demo] [pdf]
    A. Dubinskiy and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2003

  243. How do Heuristics Expedite Markov Chain Search? [demo] [pdf]
    R. Maciuca and S.-C. Zhu
    International Conference on Computer Vision (ICCV), 2003

  244. Bayesian Reconstruction of 3D Shapes and Scenes from a Single Image [demo] [pdf]
    F. Han and S.-C. Zhu
    International Workshop on High Level Knowledge in 3D Modeling and Motion (HLK), 2003

    245. 2002

  245. Image Segmentation by Data-Driven Markov Chain Monte Carlo [ps.gz] [reprint]
    Z. Tu and S.-C. Zhu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 24(5): 657-673, 2002

  246. Learning in Gibbsian Feilds: How Accurate and How Fast can It Be?" [ps.gz] [reprint]
    S.-C. Zhu and X. Liu
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 24(7): 1001-1006, 2002

  247. A Generative Model for Textured Motion: Analysis and Synthesis [pdf]
    Y. Wang and S.-C. Zhu
    European Conference on Computer Vision (ECCV), 2002

  248. Parsing Images into Region and Curve Processes [pdf]
    Z. Tu and S.-C. Zhu
    European Conference on Computer Vision (ECCV), 2002

  249. What are Textons? [pdf]
    S.-C. Zhu, C. Guo, Y.N. Wu, and Y. Wang
    European Conference on Computer Vision (ECCV), 2002

  250. Statistical Modeling of Texture Sketch [pdf]
    Y.N. Wu, S.-C. Zhu, and C. Guo
    European Conference on Computer Vision (ECCV), 2002

  251. A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
    F. Han, Z. Tu, and S.-C. Zhu
    European Conference on Computer Vision (ECCV), 2002