Textbook

  1. Adrian Barbu and Song-Chun Zhu, Monte Carlo Methods, Springer, 2019.

  2. Preprints

  3. Learning Energy-Based 3D Descriptor Networks for Volumetric Shape Synthesis and Analysis [pdf]
    J. Xie*, Z. Zheng*, R. Gao, W. Wang, S.-C. Zhu, and Y.N. Wu
    Under review, by TPAMI, 2019

  4. Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Human-like Commonsense [pdf]
    Y. Zhu, T. Gao, L. Fan, S. Huang, M. Edmonds, H. Liu, F. Gao, C. Zhang, S. Qi, Y.N. Wu, J.B. Tenenbaum, and S.-C. Zhu
    Under review

  5. X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust [pdf]
    A. Akula, C. Liu, S. Sadiya, H. Lu, S. Todorovic, J.Y. Chai, and S.-C. Zhu
    arXiv:1909.06907

  6. Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks [pdf]
    X. Xing, T. Wu, S.-C. Zhu, and Y.N. Wu
    arXiv:1909.04324

  7. A Generalized Earley Parser for Human Activity Parsing and Prediction [pdf]
    S. Qi, B. Jia, S. Huang, P. Wei, and S.-C. Zhu
    Under review

  8. Learning Pose Grammar for Monocular 3D Pose Estimation [pdf]
    Y. Xu, W. Wang, X. Liu, J. Xie, J. Shen, and S.-C. Zhu
    Under review, by PAMI, 2019.

  9. 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

  10. 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

  11. 2020

  12. Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning [pdf] [web]
    M. Edmonds, X. Ma, S. Qi, Y. Zhu, H. Lu, and S.-C. Zhu
    AAAI Conference on Artificial Intelligence (AAAI), 2020

  13. Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning [pdf] [web]
    W. Zhang, C. Zhang, Y. Zhu, and S.-C. Zhu
    AAAI Conference on Artificial Intelligence (AAAI), 2020

  14. Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns [pdf] [web]
    J. Xie*, R. Gao*, Z. Zheng, S.-C. Zhu, Y.N. Wu
    AAAI Conference on Artificial Intelligence (AAAI), 2020

  15. On the Anatomy of MCMC-based Maximum Likelihood Learning of Energy-Based Models [pdf] [web]
    E. Nijkamp*, M. Hill*, T. Han, S.-C. Zhu, and Y.N. Wu
    AAAI Conference on Artificial Intelligence (AAAI), 2020

  16. CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines [pdf]
    A. Akula, S. Wang, S.-C. Zhu
    AAAI Conference on Artificial Intelligence (AAAI), 2020

  17. 2019

  18. Representation Learning: A Statistical Perspective [pdf]
    J. Xie, R. Gao, E. Nimp, S.-C. Zhu, and Y.N. Wu
    Annual Review of Statistics and Its Application, Vol. 7, 2019.

  19. 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.

  20. 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.

  21. Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model [pdf] [web]
    E. Nijkamp, M. Hill, S.-C. Zhu, and Y.N. Wu
    Neural Information Processing Systems (NeurIPS), 2019

  22. PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points [pdf] [web]
    S. Huang, Y. Chen, T. Yuan, S. Qi, Y. Zhu, and S.-C. Zhu
    Neural Information Processing Systems (NeurIPS), 2019

  23. Learning Perceptual Inference by Contrasting [pdf] [web]
    C. Zhang, B. Jia, F. Gao, Y. Zhu, H. Lu, and S.-C. Zhu
    Neural Information Processing Systems (NeurIPS), 2019

  24. Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense [pdf] [web]
    Y. Chen*, S. Huang*, T. Yuan, S. Qi, Y. Zhu, and S.-C. Zhu
    *Equal contributors
    International Conference on Computer Vision (ICCV), 2019

  25. Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning [pdf] [web]
    L. Fan*, W. Wang*, S. Huang, X. Tang, and S.-C. Zhu
    *Equal contributors
    International Conference on Computer Vision (ICCV), 2019

  26. DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare [pdf]
    Y. Xu, S.-C. Zhu, T. Tung
    International Conference on Computer Vision (ICCV), 2019

  27. Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning [pdf] [web]
    X. Xie*, C. Li*, C. Zhang, Y. Zhu, and S.-C. Zhu
    *Equal contributors
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019

  28. VRGym: A Virtual Testbed for Physical and Interactive AI [pdf] [web]
    X. Xie, H. Liu, Z. Zhang, Y. Qiu, F. Gao, S. Qi, Y. Zhu, and S.-C. Zhu
    Association for Computing Machinery Turing Celebration Conference (ACM TURC), 2019

  29. VRKitchen: an Interactive 3D Environment for Learning Real Life Cooking Tasks [pdf] [web]
    X. Gao, R. Gong, T. Shu, X. Xie, S. Wang, and S.-C. Zhu
    ICML Workshop on Reinforcement Learning for Real Life (RL4RealLife), 2019

  30. Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning [pdf] [web]
    M. Edmonds, S. Qi, Y. Zhu, J. Kubricht, S.-C. Zhu, and H. Lu
    IAnnual Meeting of the Cognitive Science Society (CogSci), 2019

  31. Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space [pdf] [web]
    T. Shu, Y. Peng, H. Lu, and S.-C. Zhu
    Annual Meeting of the Cognitive Science Society (CogSci), 2019

  32. Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion [pdf] [web]
    R. Gao*, J. Xie*, S.-C. Zhu, and Y.N. Wu
    *Equal contributors
    International Conference on Learning Representations (ICLR), 2019

  33. Divergence Triangle for Joint Training of Generator Model, Energy-based Model, and Inference Model [web] [pdf]
    T. Han*, E. Nijkamp*, X. Fang, M. Hill, S.-C. Zhu, Y.N. Wu
    *Equal contributors
    Computer Vision and Pattern Recognition (CVPR), 2019

  34. Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network [pdf]
    X. Xing, T. Han, R. Gao, S.-C. Zhu, and Y.N. Wu
    Computer Vision and Pattern Recognition (CVPR), 2019

  35. Reasoning Visual Dialogs with Structural and Partial Observations [pdf] [web]
    Z. Zheng*, W. Wang*, S. Qi*, and S.-C. Zhu
    *Equal contributors
    Computer Vision and Pattern Recognition (CVPR), 2019

  36. RAVEN: A Dataset for Relational and Analogical Visual rEasoNing [pdf] [web]
    C. Zhang*, F. Gao*, B. Jia, Y. Zhu, and S.-C. Zhu
    *Equal contributors
    Computer Vision and Pattern Recognition (CVPR), 2019

  37. 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

  38. 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

  39. 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

  40. 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

  41. 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

  42. 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

  43. 2018

  44. 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, 2018.

  45. Learning Energy-based Spatial-Temporal Generative ConvNets for Dynamic Patterns [pdf]
    J. Xie, S.-C. Zhu, and Y.N. Wu
    IEEE Trans. on Pattern Analysis and Machine Intelligence, 2018.

  46. 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

  47. 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

  48. 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.

  49. Mining deep And-Or object structures via cost-sensitive question-answer-based active annotations [pdf]
    Q.S. Zhang, Y.N. Wu, H. Zhang, and S.-C. Zhu
    Computer Vision and Image Understanding (CVIU), vol. 176-177, pp 33-44, 2018

  50. 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

  51. 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

  52. 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.

  53. 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

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

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

  56. 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

  57. 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

  58. 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

  59. 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

  60. 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

  61. 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

  62. 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

  63. 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

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

  65. 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

  66. 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

  67. 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

  68. 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

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

  70. 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

  71. 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

  72. 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

  73. 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

  74. 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

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

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

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

  78. 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

  79. 2017

  80. 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.

  81. 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

  82. 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

  83. 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.

  84. 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.

  85. 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

  86. 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

  87. 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

  88. 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

  89. 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

  90. 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

  91. 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

  92. 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.

  93. 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

  94. 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

  95. 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

  96. 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

  97. 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

  98. 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

  99. 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

  100. 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

  101. 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

  102. 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

  103. 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

  104. 2016

  105. 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

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

  107. 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

  108. 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

  109. 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

  110. 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

  111. 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

  112. 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

  113. 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

  114. 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

  115. 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

  116. 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

  117. 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

  118. 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

  119. 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

  120. 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

  121. 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

  122. 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

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

  124. 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

  125. 2015

  126. 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

  127. 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

  128. 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

  129. 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

  130. 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

  131. 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

  132. 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

  133. 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

  134. 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

  135. 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

  136. 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

  137. 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

  138. 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

  139. 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

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

  141. 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

  142. 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

  143. 2014

  144. 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

  145. 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

  146. 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

  147. 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

  148. 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

  149. 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

  150. 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.

  151. 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

  152. 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

  153. 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

  154. 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

  155. 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

  156. 2013

  157. 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

  158. 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

  159. 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

  160. 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

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

  162. 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

  163. 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

  164. 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

  165. 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

  166. 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

  167. 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

  168. 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

  169. 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

  170. 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

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

  172. 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

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

  174. 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

  175. 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

  176. 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

  177. 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

  178. 2012

  179. 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

  180. 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

  181. 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

  182. 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

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

  184. 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

  185. 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

  186. 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

  187. 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

  188. 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

  189. 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

  190. 2011

  191. 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

  192. 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

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

  194. 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

  195. 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

  196. 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

  197. 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

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

  199. 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

  200. 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

  201. 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

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

  203. 2010

  204. 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

  205. 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

  206. 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

  207. 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

  208. 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

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

  210. 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

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

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

  213. 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

  214. 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

  215. 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

  216. 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

  217. 2009

  218. 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]

  219. 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

  220. 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

  221. 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

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

  223. 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

  224. 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

  225. 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

  226. 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

  227. 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

  228. 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

  229. 2008

  230. 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

  231. 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

  232. 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

  233. 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

  234. 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

  235. 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

  236. 2007

  237. 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

  238. 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

  239. 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

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

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

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

  243. 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

  244. 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

  245. 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

  246. 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

  247. 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

  248. 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

  249. 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

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

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

  252. 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

  253. 2006

  254. 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

  255. 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

  256. 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

  257. 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

  258. 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

  259. 2005

  260. 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

  261. 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

  262. 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

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

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

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

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

  267. 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

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

  269. 2004

  270. 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

  271. 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

  272. 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.

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

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

  275. 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

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

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

  278. 2003

  279. 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

  280. 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

  281. 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

  282. 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

  283. 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

  284. 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

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

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

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

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

  289. 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

  290. 2002

  291. 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

  292. 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

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

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

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

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

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