Conference Publications

1. GRICE: A Grammer-based Dataset for recovering Implicature and Conversational rEasoning [pdf]
   Z. Zheng, S. Qiu, L. Fan, Y. Zhu, and S.C. Zhu
   Joint meeting of ACL-IJCNLP, 2021
   


2. Reconstructing Interactive 3D Scene by Panoptic Mapping and CAD Model Alignments [pdf][web]
   M. Han*, Z. Zhang*, Z. Jiao, X. Xie, Y. Zhu, S.-C. Zhu, and H. Liu
   * equal contributions
   International Conference on Robotics and Automation (ICRA), 2021
   


3. Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance [pdf][web]
   X. Xie, C. Zhang, Y. Zhu, Y.N Wu, and S.-C. Zhu
   International Conference on Robotics and Automation (ICRA), 2021
   


4. Learning Triadic Belief Dynamics in Nonverbal Communication from Videos [pdf]
   L. Fan*, S. Qiu*, Z. Zheng, T. Gao, S.-C. Zhu, and Y. Zhu
   * equal contributions
   Computer Vision and Pattern Recognition (CVPR), 2021
   


5. Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis [pdf]
   Y. Zhu, R. Gao, S. Huang, S.-C. Zhu, and Y.N. Wu
   Computer Vision and Pattern Recognition (CVPR), 2021
   


6. ACRE: Abstract Causal Reasoning Beyond Covariation [pdf][web]
   C. Zhang, B. Jia, M. Edmonds, S.-C. Zhu, and Y. Zhu
   Computer Vision and Pattern Recognition (CVPR), 2021
   


7. Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution [pdf][web]
   C. Zhang*, B. Jia*, S.-C. Zhu, and Y. Zhu
   * equal contributions
   Computer Vision and Pattern Recognition (CVPR), 2021
   


8. Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification [pdf][web]
   J. Xie*, Y. Xu*, Z. Zheng, S.-C. Zhu, and Y.N. Wu
   * equal contributions
   Computer Vision and Pattern Recognition (CVPR), 2021
   


9. Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models [pdf]
   M. Hill*, J.C. Mitchell*, and S.-C. Zhu
   * equal contributions
   International Conference on Learning Representations (ICLR), 2021
   


10. Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation [pdf]
    J. Xie*, Z. Zheng*, X. Fang, S.-C. Zhu, and Y.N. Wu
    * equal contributions
    The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) 2021
    


11. Learning by Fixing: Solving Math Word Problems with Weak Supervision [pdf] [web]
    Y. Hong, Q. Li, D. Ciao, S. Huang, and S.-C. Zhu
    The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) 2021
    


12. SMART: A Situation Model for Algebra Story Problems via Attributed Grammar [pdf] [web]
    Y. Hong, Q. Li, R. Gong, D.Ciao, S. Huang, and S.-C. Zhu
    The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI) 2021
    


13. Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning [pdf] [web]
    Q. Li, S. Huang, Y. Hong, Y. Chen, Y.N. Wu, and S.-C. Zhu
    International Conference on Machine Learning (ICML), 2020
    


14. Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks [pdf]
    X. Gao, R. Gong, Y. Zhao, S. Wang, T. Shu, S.-C. Zhu
    International Conference on Robot & Human Interactive Communication (RO-MAN), 2020
    


15. Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference [pdf] [web]
    E. Nijkamp*, B. Pang*, T. Han, L. Zhou, S.-C. Zhu, Y.N. Wu
    *Equal contributors
    European Conference on Computer Vision (ECCV), 2020
    


16. A Competence-aware Curriculum for Visual Concepts Learning via Question Answering [pdf]
    Q. Li, S. Huang, Y. Hong, S.-C. Zhu
    European Conference on Computer Vision (ECCV), 2020
    


17. LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities [pdf] [web]
    B. Jia, Y. Chen, S. Huang, Y. Zhu, S.-C. Zhu
    European Conference on Computer Vision (ECCV), 2020
    


18. Human-Robot Interaction in a Shared Augmented Reality Workspace [pdf] [web]
    S. Qiu*, H. Liu*, Z. Zhang, Y. Zhu, S.-C. Zhu
    *Equal contributors
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
    


19. Graph-based Hierarchical Knowledge Representation for Robot Task Transfer from Virtual to Physical World [pdf] [web]
    Z. Zhang, Y. Zhu, S.-C. Zhu
    IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
    


20. A Massively Parallel and Scalable Multi-GPU Material Point Method [pdf] [web]
    X. Wang*, Y. Qiu*, S. R. Slattery, Y. Fang, M. Li, S.-C. Zhu, Y. Zhu, M. Tang, D. Manocha, C. Jiang
    *Equal contributors
    SIGGRAPH, 2020
    


21. Words aren't enough, their order matters: On the Robustness of Grounding Visual Referring Expressions [pdf] [web]
    A. R. Akula, S. Gella, Y. A. Onaizan, S.-C. Zhu, and S. Reddy
    Association for Computational Linguistics (ACL), 2020
    


22. Inducing Hierarchical Compositional Model by Sparsifying Generator Network [pdf]
    X. Xing, T. Wu, S.-C. Zhu, Y. N. Wu
    Computer Vision and Pattern Recognition (CVPR), 2020
    


23. Joint Training of Variational Auto-Encoder and Latent Energy-Based Model [pdf]
    T. Han, E. Nijkamp, L. Zhou, B. Pang, S.-C. Zhu, Y.N. Wu
    Computer Vision and Pattern Recognition (CVPR), 2020
    


24. Joint Inference of States, Robot Knowledge, and Human (False)-Beliefs [pdf] [web]
    T. Yuan, H. Liu, L. Fan, Z. Zheng, T. Gao, Y. Zhu, and S.-C. Zhu
    International Conference on Robotics and Automation (ICRA), 2020
    


25. Congestion-aware Evacuation Routing using Augmented Reality Devices [pdf] [web]
    Z. Zhang, H. Liu, Z. Jiao, Y. Zhu, and S.-C. Zhu
    International Conference on Robotics and Automation (ICRA), 2020
    


26. 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
    


27. 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
    


28. 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
    


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


30. 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
    


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


32. 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
    


33. 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
    


34. Holistic++ Scene Understanding: [pdf]
    Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense
    Yixin Chen , Siyuan Huang, Tao Yuan , Siyuan Qi, Yixin Zhu, and Song-Chun Zhu
    International Conference on Computer Vision (ICCV), 2019.


35. Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning [pdf]
    Lifeng Fan, Wenguan Wang, Siyuan Huang, Xinyu Tang, and Song-Chun Zhu
    International Conference on Computer Vision (ICCV), 2019.
    


36. DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare [pdf]
    Yuanlu Xu, Song-Chun Zhu, and Tony Tung
    International Conference on Computer Vision (ICCV), 2019.
    


37. 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
    


38. 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 
    


39. 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.
    


40. 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.
    


41. 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
    Annual Meeting of the Cognitive Science Society (CogSci), 2019
    


42. 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. 
    


43. 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 
    Computer Vision and Pattern Recognition (CVPR), 2019. 
    


44. 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. 
    


45. 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. 
    


46. 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. 
    


47. 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. 
    


48. 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. 


49. Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions [pdf]
    H. Liu, C. Zhang, Y. Zhu, C. Jiang, and S.-C. Zhu
    33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, Jan. 2019.
    
    
50. Recognizing Unseen Attribute-Object Pair with Generative Model [pdf]
    Z. Nan, Y. Liu, N. Zheng, and S.-C. Zhu
    33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, Jan. 2019.
    
    
51. MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer [pdf]
    C. Zhang, Y. Zhu, and S.-C. Zhu
    33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, Jan. 2019.
    
    
52. 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
    33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, Jan. 2019.
    
    
53. 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
    32nd Annual Conf. on Neural Information Processing Systems (NeurIPS), Montreal, CAN, Dec. 2018.
    
    
54. 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
    


55. 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
    


56. 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
    


57. Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction [pdf]
    S. Qi, B. Jia, and S.-C. Zhu
    Proc. of 35th Int'l conf. on Machine Learning (ICML), Stockholm, Sweden, PMLR 80, 2018.
    
    
58. 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.
    
    
59. Human-centric Indoor Scene Synthesis Using Stochastic Grammar [pdf][web]
    S. Qi, Y. Zhu, S. Huang, C. Jiang, and S.-C. Zhu
    Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018
    
    
60. 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
    Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018
    
    
61. Interpretable Convolutional Neural Networks [pdf] [web]
    Q. Zhang, Y. N. Wu and S.-C. Zhu
    Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018
    
    
62. Inferring Shared Attention in Social Scene Videos [pdf] [web]
    L. Fan*, Y. Chen*, P. Wei, W. Wang, and S.-C. Zhu
    Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018
    
    
63. 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
    Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018
    
    
64. Learning Generative ConvNets via Multi-grid Modeling and Sampling [pdf][web]
    R. Gao*, Y. Lu*, J. Zhou, S.-C. Zhu, Y.N.Wu
    Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018
    
    
65. 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
    Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018
    
    
66. Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification [pdf][web]
    W. Wang Y. Xu, J. Shen, and S.-C. Zhu
    Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018
    
    
67. Intent-aware Multi-agent Reinforcement Learning [pdf] 
    S. Qi, and S.-C. Zhu 
    International Conference on Robotics and Automation (ICRA), 2018 
    


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


69. 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 
    International Conference on Robotics and Automation (ICRA), 2018.
    
    
70. 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.
    IEEE Conference on Virtual Reality and 3D User Interfaces (IEEEVR), 2018.
    
    
71. Scene-centric Joint Parsing of Cross-view Videos [pdf][web]
    H. Qi, Y. Xu, T. Yuan, T.F. Wu, and S.C. Zhu.
    32th AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Feb., 2018.
    
    
72. Tracking Occluded Objects and Recovering Incomplete Trajectories [pdf][web]
    by Reasoning about Containment Relations and Human Actions
    W. Liang, Y.X. Zhu, and S.C. Zhu
    32th AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Feb., 2018.
    
    
73. 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
    32th AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Feb., 2018.
    
    
74. Examining CNN Representations With Respect To Dataset Bias [pdf][web]
    Q.S. Zhang, W.G. Wang, and S.C. Zhu
    32th AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Feb., 2018.
    
    
75. Interpreting CNN Knowledge Via An Explanatory Graph [pdf][web]
    Q.S. Zhang, R. Cao, F. Shi, Y.N. Wu, and S.C. Zhu
    32th AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Feb., 2018.
    
    
76. 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.
    
    
77. Predicting Human Activities Using Stochastic Grammar [pdf][web]
    S. Qi, S. Huang, P. Wei and S.C. Zhu
    Int'l Conf. on Computer Vision (ICCV), PMLR 78:448-457 2017.
    
    
78. Monocular 3D Human Pose Estimation by Predicting Depth on Joints [pdf][web]
    B. X. Nie and S.C. Zhu
    Int'l Conf. on Computer Vision (ICCV), 2017.
    
    
79. Jointly Detecting Object Fluents and Predicting Tasks in Egocentric Videos [pdf][web]
    Y. Liu, P. Wei and S.C. Zhu
    Int'l Conf. on Computer Vision (ICCV), 2017.
    
    
80. 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, Y. Zhu, S. Qi, B. Rothrock and S.C. Zhu
    Int'l Conf. on Intelligent Robots and Systems (IROS), 2017.
    
    
81. 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
    Int'l Conf. on Intelligent Robots and Systems (IROS), 2017.
    
    
82. Single-Image 3D Scene Parsing Using Geometric Commonsense [pdf][web]
    C. Yu, X. B. Liu and S.C. Zhu
    26th Int'l joint Conf. on Artificial Intelligence (IJCAI), 2017.
    
    
83. Inferring Human Attention by Learning Latent Intentions [pdf][web]
    P. Wei, X. Dan, N.N. Zheng and S.C. Zhu
    26th Int'l joint Conf. on Artificial Intelligence (IJCAI), 2017.
    
    
84. Inferring Hidden Statuses and Actions in Video by Causal Reasoning [pdf][web]
    A. Fire and S.-C. Zhu
    Int'l Workshop on Vision Meets Cognition Workshop: Functionality, Physics, Intentionality and Causality (FPIC), with CVPR, 2017.
    
    
85. CERN: Confidence-Energy Recurrent Network for Group Activity Recognition [pdf][web]
    T. Shu, S. Todorovic, and S.-C. Zhu
    Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017
    
    
86. Mining Object Parts from CNNs via Active Question-Answering [pdf][web]
    Q. Zhang, R. Cao, Y. N. Wu, and S.-C. Zhu
    Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017
    
    
87. Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet [pdf][web]
    J. Xie, S.-C. Zhu, Y.N. Wu
    Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017
    
    
88. Generative Hierarchical Learning of Sparse FRAME Models [pdf][web]
    J. Xie, Y. Xu, E. Nijkamp, Y.N. Wu, S.-C. Zhu
    Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2017
    
    
89. Inferring Human Interaction from Motion Trajectories in Aerial Videos [pdf][web]
    T. Shu, Y. Peng, L. Fan, H. Lu, and S.-C. Zhu
    39th Annual Meeting of the Cognitive Science Society (CogSci), 2017.
    
    
90. Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics [pdf][web]
    J. Kubricht, C. Jiang, Y.X. Zhu, S.-C. Zhu, D. Terzopoulos, H.J. Lu
    39th Annual Meeting of the Cognitive Science Society (CogSci), 2017.
    
    
91. Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task [pdf][web]
    J. Lin, Y.X. Zhu, J. Kubricht, S.-C. Zhu, and H.J. Lu
    39th Annual Meeting of the Cognitive Science Society (CogSci), 2017.
    
    
92. Learning Social Affordance Grammar from Videos : Transferring Human Interactions to Human-Robot Interactions [pdf][web]
    T. Shu, X. Gao, M. S. Ryoo, S.-C. Zhu
    Int'l Conference on Robotics and Automation (ICRA), 2017.
    
    
93. 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
    IEEE Virtual Reality, March, 2017
    
    
94. Alternating Back-Propagation for Generator Network [pdf][web]
    T. Han, Y. Lu S.C. Zhu, and Y.N. Wu
    31th AAAI Conference on Artificial Intelligence (AAAI), San Francisco, Feb, 2017
    
    
95. Cross-view People Tracking by Scene-Centered Spatio-Temporal Parsing [pdf][web]
    Y. Xu, X. B.Liu, L. Qin, and S.C. Zhu
    31th AAAI Conference on Artificial Intelligence (AAAI), San Francisco, Feb, 2017
    
    
96. Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning [pdf][web]
    Q. Zhang, R. Cao, Y. N. Wu, and S.C. Zhu
    31th AAAI Conference on Artificial Intelligence (AAAI), San Francisco, Feb, 2017
    
    
97. Inferring Context through Scene Understanding [pdf]
    M. Walton, D. Lange and S.C. Zhu
    31th AAAI Conference on Artificial Intelligence (AAAI) Symposium on Computational Context, San Francisco, Feb, 2017
    
    
98. 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
    Siggraph Asia, Virtual reality meets physical reality workshop, Dec. 2016.
    
    
99. What is Where: Inferring Containment Relations from Videos [pdf][web]
    W. Liang, Y. Zhao, Y.X. Zhu, and S.C. Zhu
    25th Int'l joint Conf. on Artificial Intelligence (IJCAI), p.3418-3424, 2016.
    
    
100. Learning Social Affordance for Human-Robot Interactions [pdf][web]
     T.M. Shu, M. Ryoo, and S.C. Zhu
     25th Int'l joint Conf. on Artificial Intelligence (IJCAI), p3454-3461, 2016.
     
     
101. 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
     Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016.
     
     
102. Inferring Human Intent from Video by Sampling Hierarchical Plans [pdf]
     S. Holtzen, Y.B. Zhao, T. Gao, J. B. Tenenbaum, S.C. Zhu
     Int'l Conf. on Intelligent Robots and Systems (IROS), Deajeon, Oct., 2016.
     
     
103. A Theory of Generative ConvNet [pdf][web]
     J. Xie, Y. Lu, S.C. Zhu, and Y.N. Wu
     Int'l Conf. on Machine Learning (ICML), p2635-2644, 2016.
     
     
104. Grounded Semantic Role Labeling [pdf][web]
     S. Yang, Q. Gao, C. Liu, C. Xiong, S.C. Zhu, and J. Y. Chai
     15th Annual Conference of the North American Chapter of the Association for Computational Linguistics (NA-ACL), p149-159, San Diego, 2016
     
     
105. Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem [pdf][web]
     J. Kubricht, C. Jiang, Y.X. Zhu, S.C. Zhu, D. Terzopoulos, and H.J. Lu
     38th Annual Meeting of the Cognitive Science Society (CogSci), 2016.
     
     
106. Critical Features of Joint Actions that Signal Human Interaction [pdf][web]
     T. Shu, S. Thurman, D. Chen, S.C. Zhu, and H.J. Lu
     38th Annual Meeting of the Cognitive Science Society (CogSci), 2016.
     
     
107. Multi-view People Tracking via Hierarchical Trajectory Composition [pdf][web]
     Y. Xu, X.Liu, Y. Liu and S.-C. Zhu
     Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2016.
     
     
108. Recognizing Car Fluents from Video [pdf][web]
     B. Li, T.F. Wu, C. Xiong, and S.C. Zhu
     Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2016.
     
     
109. Inferring Forces and Learning Human Utilities from Video [pdf][web]
     Y.X. Zhu, C. Jiang, Y. Zhao, D. terzopoulos and S.C. Zhu
     Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2016.
     
     
110. Robot Learning with a Spatial, Temporal, and Causal And-Or Graph [pdf][web]
     C.M. Xiong, N. Shukla, W. Xiong and S.C. Zhu
     Int'l Conference on Robotics and Automation (ICRA), p2144-2151, 2016.
     
     
111. Learning FRAME Models Using CNN Filters [pdf][web]
     Y. Lu, S.C. Zhu and Y.N. Wu
     30th AAAI Conference on Artificial Intelligence (AAAI), p1902-1910, Phoenix, Arizona, 2016.
     
     
112. Task Learning through Visual Demonstration and Situated Dialogue [pdf]
     C.S. Liu, J. Y. Chai, N. Shukla and S.C.Zhu
     AAAI Workshop on Symbiotic Cognitive Systems, Phoenix, Arizona, 2016.
     
     
113. Attributed Grammars for Joint Estimation of Human Attributes, Parts and Poses [pdf][web]
     S. Park and S.C. Zhu
     Proc. of International Conference on Computer vision (ICCV), 2015.
     
     
114. Mining And-Or Graphs for Graph Matching and Object Discovery [pdf][web]
     Q.S. Zhang, Y.N. Wu and S.C. Zhu
     Proc. of International Conference on Computer vision (ICCV), 2015.
     
     
115. Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face [pdf][web]
     J. Joo, F. Steen and S.C. Zhu
     Proc. of International Conference on Computer vision (ICCV), 2015.
     
     
116. A Unified Framework for Human-Robot Knowledge Transfer
     N. Shukla, C.M. Xiong and S.C. Zhu
     AAAI Symposium on Artificial Intelligence and Human-Robot Interactions (AI-HRI), 2015.
     
     
117. Represent and Infer Human Theory of Minds for Human-Robot Interaction.
     Y.B. Zhao, S. Holtzen, T. Gao and S.C. Zhu
     AAAI Symposium on Artificial Intelligence and Human-Robot Interactions (AI-HRI), 2015.
     
     
118. Understanding Tools: Task-Oriented Object Modeling, Learning and Recognition [pdf][web]
     Y. Zhu, Y.B. Zhao and S.C. Zhu
     Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2015.
     
     
119. 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
     Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2015.
     
     
120. Joint Action Recognition and Pose Estimation From Video [pdf][web]
     B. X. Nie, C. Xiong and S.C. Zhu
     Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2015.
     
     
121. Evaluating Human Cognition of Containing Relations with Physical Simulation [pdf][web]
     W. Liang, Y. B. Zhao, Y.X. Zhu and S.C. Zhu
     37th Annual Cognitive Science Conference (CogSci), Los Angeles, 2015.
     
     
122. Mapping Energy Landscapes of Non-Convex Learning Problems [pdf]
     M. Pavlovskaia, K.W. Tu and S.C. Zhu
     Proc. of Energy Minimization Method for Computer Vision and Pattern Recognition (EMMCVPR), Hong Kong, Jan. 2015.
     
     
123. Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model. [pdf]
     B. Li, T.F. Wu and S.C. Zhu
     Proc. of European Conf. on Computer Vision (ECCV), 2014.
     
     
124. Visual Persuasion: Inferring Communicative Intents of Images [pdf][web]
     J. Joo, W.X. Li, F. Steen and S.C. Zhu
     Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2014.
     
     
125. Cross-View Action Modeling, Learning and Recognition [pdf][web]
     J. Wang, B. Nie, Y. Xia, Y. Wu and S.C. Zhu
     Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2014.
     
     
126. Single-View 3D Scene Parsing by Attributed Grammar [pdf][web]
     X.B. Liu, Y.B. Zhao and S.C. Zhu
     Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2014.
     
     
127. Online Object Tracking, Learning and Parsing with And-Or Graphs [pdf][web]
     Y. Lu, T.F. Wu and S.C. Zhu
     Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2014.
     
     
128. Learning Inhomogeneous FRAME Models for Object Patterns [pdf][web]
     J. Xie. W. Hu, S.C. Zhu and Y. Wu
     Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2014.
     
     
129. Unsupervised Learning of Dictionaries of Hierarchical Compositional Models [pdf][web]
     J. Dai, Y. Hong, W. Hu, S.C. Zhu and Y. Wu
     Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2014.
     
     
130. Detecting Potential Falling Objects by Inferring Human Action and Natural Disturbance [pdf] [web]
     B. Zheng, Y.B. Zhao, J. C. Yu, K. Ikeuchi and S.C. Zhu
     Proc. Int'l Conf. on Robotics and Automations (ICRA), 2014.
     
     
131. Unsupervised Structure Learning of Stochastic And-Or Grammars [pdf][web]
     K.W Tu, M. Pavlovskaia and S.C. Zhu
     Proc. Neural Information Processing Systems (NIPS), 2013.
     
     
132. Inferring ‘Dark Matter’ and ‘Dark Energy’ from Videos [pdf][web]
     D. Xie, S. Todorovic and S.C. Zhu
     Proc. Int’l Conference on Computer Vision (ICCV), 2013.
     
     
133. Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection [pdf][web]
     T.F. Wu and S.C. Zhu
     Proc. Int’l Conference on Computer Vision (ICCV), 2013.
     
     
134. Monte Carlo Tree Search for Scheduling Activity Recognition [pdf][web]
     M. Amer, S. Todorovic, A. Fern and S.C. Zhu
     Proc. Int’l Conference on Computer Vision (ICCV), 2013.
     
     
135. Human Attribute Recognition by Rich Appearance Dictionary [pdf][web]
     J. Joo, S. Wang and S.C. Zhu
     Proc. Int’l Conference on Computer Vision (ICCV), 2013.
     
     
136. Cosegmentation and Cosketch by Unsupervised Learning [pdf][web]
     J. Dai, Y. Wu, J. Zhou and S.C. Zhu
     Proc. Int’l Conference on Computer Vision (ICCV), 2013.
     
     
137. Concurrent Action Detection with Structural Prediction [pdf][web]
     P. Wei, N.N. Zheng, Y.B. Zhao and S.C. Zhu
     Proc. Int’l Conference on Computer Vision (ICCV), 2013.
     
     
138. Modeling Occlusion by Discriminative AND-OR Structures [pdf][web]
     B. Li, W. Hu, T.F. Wu and S.C. Zhu
     Proc. Int’l Conference on Computer Vision (ICCV), 2013.
     
     
139. Modeling 4D Human-Object Interactions for Event and Object Recognition [pdf][web]
     P. Wei, Y. B. Zhao, N.N. Zheng and S.C. Zhu
     Proc. Int’l Conference on Computer Vision (ICCV), 2013.
     
     
140. Using Causal Induction in Humans to Learn and Infer Causality from Video [pdf] [web]
     A. Fire and S.C. Zhu
     35th Annual Cognitive Science Conference (CogSci), Berlin, Germany, 2013
     
     
141. Scene Parsing by Integrating Function, Geometry and Appearance Models [pdf] [web with data]
     Y. B. Zhao and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2013.
     
     
142. Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics [pdf] [web with data]
     B. Zheng, Y.B. Zhao, J.C. Yu, K. Ikeuchi, and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2013.
     
     
143. Integrating Grammar and Segmentation for Human Pose Estimation [pdf] [web with data]
     B. Rothrock, S. Park, and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2013.
     
     
144. Discriminatively Trained And-Or Tree Models for Object Detection [pdf] [web with data]
     X. Song, T.F. Wu, Y. Jia, and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2013.
     
     
145. Weakly Supervised Learning for Attribute Localization in Outdoor Scenes [pdf] [web with data]
     S. Wang, J. Joo, Y.Z. Wang, and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2013.
     
     
146. 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), Bellvue, WA, 2013
     
     
147. Learning Perceptual Causality from Video
     A. Fire and S.C. Zhu
     AAAI Workshop on Learning Rich Representations from Low-Level Sensors (RepLearning), Bellvue, WA, 2013
     
     
148. Cost-Sensitive Top-down/Bottom-up Inference for Multiscale Activity Recognition [pdf][web with dataset ]
     M. R. Amer, D. Xie, M. Zhao, S. Todorovic, and S.C. Zhu
     European Conf. on Computer Vision (ECCV), 2012.
     
     
149. Hierarchical Space Tiling for Scene Modelling [pdf] [web]
     S. Wang, Y.Z Wang, and S.C. Zhu
     Proc. of Asia Conf. on Computer Vision (ACCV), 2012.
     
     
150. Reconfigurable Templates for Robust Vehicle Detection and Classification [pdf][web]
     Y. Lu, B. Yao, Y. Wang and S.C. Zhu
     Workshop on Application of Computer Vision (WACV), Colorado, 2012
     
     
151. Learning Reconfigurable Scene Representation by Tangram Model [pdf][web]
     J. Zhu, T.F. Wu, S.C. Zhu, X.K. Yang, W. Zhang
     Workshop on Application of Computer Vision (WACV), Colorado, 2012
     
     
152. Artistic Rendering of Portraits [pdf][web]
     M.T. Zhao and S.C. Zhu
     Book chapter in Image and Video based Artistic Stylization, Eds. J. Collomosse and P. Rossin, Springer, 2012
     
     
153. Hierarchical Organization by And-Or Tree [pdf][web]
     J. Joo, S. Wang and S.C. Zhu
     Book chapter in Handbook of Perceptual Organization, eds.J. Wagemans, Springer, 2012
     
     
154. Structure v.s. Appearance and 3D v.s. 2D? A Numeric Answer [pdf][web]
     W.Z. 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 Cambridge Univ. Press, 2012
     
     
155. Learning 3D Object Templates by Hierarchical Quantization of Geometry and Appearance Spaces [pdf][web with data and code ]
     W.Z. Hu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Providence, RI 2012.
     
     
156. Image Parsing via Stochastic Scene Grammar [pdf] [web]
     Y.B. Zhao and S.C. Zhu
     Neural Information Processing Systems (NIPS), 2011.
     
     
157. Unsupervised Learning of Stochastic And-Or Templates for Object modeling [pdf] [web]
     Z.Z. Si and S.C. Zhu
     Int'l Workshop on Stochastic Image Grammar (SIG), Barcelona, Spain, 2011
     
     
158. Human Parsing using Stochastic And-Or grammar and Rich Appearance [pdf] [web]
     B. Rothrock and S.C. Zhu
     Int'l Workshop on Stochastic Image Grammar (SIG), Barcelona, Spain, 2011
     
     
159. Parsing Video Events with Goal inference and Intent Prediction [pdf] [web]
     M. Pei, Y. Jia, and S.-C. Zhu
     Int'l Conf. on Computer Vision (ICCV), Barcelona, Spain, 2011.
     
     
160. Unsupervised Learning of Event And-Or Grammar and Semantics from Video [pdf] [web]
     Z. Si, M. Pei, Z.Y. Yao, and S.-C. Zhu
     Int'l Conf. on Computer Vision (ICCV), Barcelona, Spain, 2011.
     
     
161. Image Representation by Active Curves [pdf] [web]
     W.Z. Hu, Y.N. Wu and S.-C. Zhu
     Int'l Conf. on Computer Vision (ICCV), Barcelona, Spain, 2011.
     
     
162. Video Primal Sketch: A Generic Middle-Level Representation of Video [pdf] [web]
     Z. Han, Z.B. Xu, and S.-C. Zhu
     Int'l Conf. on Computer Vision (ICCV), Barcelona, Spain, 2011.
     
     
163. Inferring Social Roles in Long Timespan Video Sequence [pdf] [web]
     J. Zhang, W. Hu, B. Yao, Y. Wang and S.C. Zhu
     Int'l Workshop on Video Event Categorization, Tagging and Retrieval for Real World Applications, Barcelona, Spain, 2011.
     
     
164. Customizing Painterly Rendering Styles Using Stroke Processes [pdf] [web]
     M.T. Zhao and S.-C. Zhu
     Int'l Symposium on Non-Photorealistic Animation and Rendering (NPAR), Vancouver, Canada, 2011.
     
     
165. Portrait Painting Using Active Templates [pdf] [web]
     M.T. Zhao and S.-C. Zhu
     Int'l Symposium on Non-Photorealistic Animation and Rendering (NPAR), Vancouver, Canada, 2011.
     
     
166. CO3 for Ultra-fast and Accurate Interactive Segmentation [pdf] [web]
     Y.B. Zhao, S.C. Zhu, and S.W. Luo,
     ACM conference on Multi-media (MM'10, Long paper), Firenze, Italy, October, 2010.
     
     
167. Artistic Paper-cut of Human Portraints [pdf] [web]
     M. Meng, M.T. Zhao, S.C. Zhu,
     ACM conference on Multi-media (MM'10, short paper), October, 2010, Firenze, Italy.
     
     
168. Sisley the Abstract Painter [pdf] [web]
     M.T. Zhao and S.C. Zhu
     Int'l Symposium on Non-Photorealistic Animation and Rendering (NPAR) Annecy, France, 2010.
     
     
169. Painterly Animation Using Video Semantics and Feature Correspondence [pdf] [web]
     L. Lin K. Zeng H. Lv Y.Z. Wang, Y. Xu, and S. C. Zhu
     Int'l Symposium on Non-Photorealistic Animation and Rendering (NPAR) Annecy, France, 2010.
     
     
170. Learning Artistic Lighting Template from Portrait Photographs [pdf] [web]
     X. Jin, M.T. Zhao, X.W Chen,Q.P. Zhao, S.C. Zhu
     Proc. of European Conf. on Computer Vision (ECCV), 2010.
     
     
171. Learning a Probabilistic Model Mixing 3D and 2D Primitives for View Invariant Object Recognition [pdf] [web]
     W.Z. Hu and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , San Francisco, 2010.
     
     
172. Discovering Scene Categories by Information Projection and Cluster Sampling [pdf]
     D.X. Dai, T.F. Wu and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , San Francisco, 2010
     
     
173. Learning Deformable Action Templates from Cluttered Videos [pdf]
     B. Yao and S.C. Zhu
     Proc. Int'l Conf. on Computer Vision (ICCV) , Kyoto, Japan, 2009
     
     
174. Evaluating Information Contributions of Bottom-up and Top-down Processes [pdf]
     X. Yang, T.F. Wu, and S.C. Zhu
     Proc. Int'l Conf. on Computer Vision (ICCV) , Kyoto, Japan, 2009
     
     
175. Learning Mixed Templates for Object Recognition [pdf]
     Z.Z. Si, H.F. Gong, Y.N. Wu, and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , Miami, Florida, June, 2009
     
     
176. Flow Mosaicking: Real-time Pedestrian Counting without Scene-Specific Learning [pdf]
     Y. Cong, H.F. Gong, and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , Miami, Florida, June, 2009
     
     
177. Trajectory Parsing by Cluster Sampling in Spatio-Temporal Graph [pdf]
     X.B. Liu, L. Lin, and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , Miami, Florida, June, 2009
     
     
178. Layered Graph Matching by Composite Clustering with Collaborative and Competitive Interactions [pdf]
     L. Lin, K. Zeng, X. B. Liu and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , Miami, Florida, June, 2009
     
     
179. Learning compositional models for object categories from small sample sets [pdf]
     J. Porway, B. Yao, and S.C. Zhu
     Book Chapter in Sven Dickinson et al (eds.) Object Categorization: Computer and Human Vision Perspectives, Cambridge University Press. 2009
     
     
180. A Hierarchical and Contextual Model for Aerial Image Understanding
     J. Porway, K. Wang, and S.C. Zhu,
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , Anchorage, Alaska, June, 2008. [pdf]
     


181. An Integrated Background Model for Video Surveillance Based on Primal Sketch and 3D Scene Geometry
     W. HU, H.F. Gong, S.C. Zhu, and Y. Wang,
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) , Anchorage, Alaska, June, 2008.[pdf]
     


182. Learning a Scene Contextual Model for Tracking and Abnormality Detection
     B. Yao, L. Wang and S.C. Zhu
     Proc. 3rd Int'l Workshop on Semantic Learning and Applications in Multimedia, Anchorage, Alaska, June, 2008. [pdf]
     


183. SAVE: A Framework for Semantic Annotation of Visual Events
     M.W. lee, A. Hakeem, N. Haering, and S.C. Zhu,
     Proc. 1st Int'l Workshop on Internet Vision, Anchorage, Alaska, June, 2008. [pdf]
     


184. Deformable Template As Active Basis
     Y.N. Wu, Z.Z. Si, C. Fleming, and S.C. Zhu
     Proc. Int'l Conf. on Computer Vision (ICCV), Rio. Brazil, Oct, 2007. [pdf]
     


185. An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples
     L. Lin, S.W Peng, J. Porway, S.C. Zhu, and Y.T. Wang
     Proc. Int'l Conf. on Computer Vision (ICCV), Rio. Brazil, Oct, 2007. [pdf]
     


186. Introduction to a large scale general purpose groundtruth dataset: methodology, annotation tool, and benchmarks
     Z.Y. Yao, X. Yang, and S.C. Zhu
     Proc. 6th Int'l Conf on Energy Minimization Methods in CVPR (EMMCVPR), Springer LNCS 4679, Ezhou, China, Aug 2007. [pdf]
     


187. Object category recognition using generative template boosting
     S.W. Peng, L. Lin, J. Porway, N. Sang, and S.C. Zhu
     Proc. 6th Int'l Conf on Energy Minimization Methods in CVPR (EMMCVPR), Springer LNCS 4679, Ezhou, China, Aug 2007. [pdf]
     


188. An Automatic Portrait System Based on And-Or Graph Representation
     F Min, J.L. Suo, S.C. Zhu, and N. Sang
     Proc. 6th Int'l Conf on Energy Minimization Methods in CVPR (EMMCVPR), Springer LNCS 4679, Ezhou, China, Aug 2007. [pdf]
     


189. Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis
     Z. Li, H.F. Gong, S.C. Zhu, and N. Sang
     Proc. 6th Int'l Conf on Energy Minimization Methods in CVPR (EMMCVPR), Springer LNCS 4679, Ezhou, China, Aug 2007. [pdf]
     


190. Bayesian Inference for Layer Representation with Mixed Markov Random Field
     R.X. Gao, T.F Wu, N. Sang, and S.C. Zhu
     Proc. 6th Int'l Conf on Energy Minimization Methods in CVPR (EMMCVPR), Springer LNCS 4679, Ezhou, China, Aug 2007. [pdf]
     


191. Mapping the Ensemble of Natural Image Patches by Emplicit and Implicit Manifolds
     K, Shi and S.C. Zhu
     Proc. IEEE. Conf. on Computer Vision and Pattern Recognition (CVPR), June, 2007. [pdf]
     


192. Compositional Boosting for Computing Hierarchical Image Structures
     T.F. Wu, G.S. Xia, and S.C. Zhu
     Proc. IEEE. Conf. on Computer Vision and Pattern Recognition (CVPR) , June, 2007. [pdf]
     


193. Layered Graph Matching with Graph Editing
     L. Lin, S.C. Zhu and Y.T. Wang
     Proc. IEEE. Conf. on Computer Vision and Pattern Recognition (CVPR), June, 2007. [pdf]
     


194. A Multi-Resolution Dynamic Model for Face Aging Simulation
     Jl. Suo, F. Min, S.C. Zhu, S.G. Shan, and X. L. Chen
     Proc. IEEE. Conf. on Computer Vision and Pattern Recognition (CVPR) , June, 2007. [pdf]
     


195. Composite Templates for Cloth Modeling and Sketching
     H. Chen, Z.J. Xu, Z.Q. Liu, and S.C. Zhu
     Proc. IEEE Conf. on Pattern Recognition and Computer Vision (CVPR), June, 2006. [pdf]
     


196. Incorporating Visual Knowledge Representation in Stereo Reconstruction
     A. Barbu and S.C. Zhu
     Proc. Int'l Conf. on Computer Vision (ICCV), Beijing, China, Oct. 2005. [pdf]
     


197. Perceptual Scale Space and It Applications
     Y. Z. Wang, S. Bahrami, and S.C. Zhu
     Proc. Int'l Conf. on Computer Vision (ICCV), Beijing, China, Oct. 2005. [pdf]
     


198. Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar
     F. Han and S.C. Zhu
     Proc. Int'l Conf. on Computer Vision (ICCV), Beijing, China, Oct. 2005. [pdf]
     


199. A generative model of human hair for hair sketching
     H. Chen and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), San Diego, June 2005.[pdf]
     


200. A high resolution grammatical model for face representation and sketching
     Z.J. Xu, H. Chen and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), San Diego, June 2005.[pdf]
     


201. Cloth representation by shape from shading with shading primitives
     F. Han and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), San Diego, June 2005.[pdf]
     


202. Modeling complex motion by tracking and editing hidden Markov graphs
     Y.Z. Wang and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Washington, DC, June 2004. [pdf]
     


203. Information scaling laws in natural scenes
     C.E. Guo, Y.N. Wu, and S.C. Zhu
     Prod. 2nd Workshop on Generative Model Based Vision Washington, DC, June 2004. [pdf]
     


204. Multigrid and multi-level Swendsen-Wang cuts for hierarchic graph partition
     A. Barbu and S.C. Zhu
     Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Washington, DC, June 2004. [pdf]
     


205. On the relationship between image and motion segmentation
     A. Barbu and S.C. Zhu
     Proc. Workshop on Spatial Coherence for Visual Motion Analysis , Prague, Czech, May, 2004. [pdf]
     


206. Automatic single view building reconstruction by integrating segmentation
     F. Han and S.C. Zhu
     Proc. IEEE Workshop on Perceptual Organization in Computer Vision Washington, DC, June 2004.
     


207. A mathematical theory of primal sketch and sketchability.
     C.E. Guo, S.C. Zhu and Y.N. Wu.
     Proc. of Int'l Conf. on Computer Vision (ICCV), Nice, France, October, 2003. [demo][pdf]
     


208. Image parsing: segmentation, detection, and recognition.
     Z.W. Tu, X.R. Chen, A.L Yuille, and S.C. Zhu.
     Proc. of Int'l Conf. on Computer Vision (ICCV), Nice, France, October, 2003.[demo][pdf]
     


209. Modeling textured motion: particles, waves, and cartoon sketch.
     Y.Z. Wang and S.C. Zhu.
     Proc. of Int'l Conf. on Computer Vision (ICCV), Nice, France, October, 2003.[demo][pdf]
     


210. Graph partition by Swendsen-Wang cut.
     A. Barbu and S.C. Zhu.
     Proc. of Int'l Conf. on Computer Vision (ICCV), Nice, France, October, 2003.[demo][pdf]
     


211. A multiscale generative model for animate shape and parts.
     A. Dubinskiy and S.C. Zhu.
     Proc. of Int'l Conf. on Computer Vision (ICCV), Nice, France, October, 2003.[demo][pdf]
     


212. How do heuristics expedite Markov chain search? .
     R. Maciuca and S.C. Zhu.
     Proc. of Int'l workshop on Statistical and Computational Theories of Vision. (SCTV) , Nice, France, October, 2003 .[demo] [pdf]
     


213. Bayesian reconstruction of 3D shapes and scenes from a single image .
     F. Han and S.C. Zhu.
     Proc. of Int'l workshop on High Level Knowledge in 3D Modeling and Motion. (HLK) , Nice, France, October, 2003.[demo] [pdf]
     


214. A generative model for textured motion: analysis and synthesis.
     Y.Z. Wang and S.C. Zhu.
     Proc. of European Conf. on Computer Vision (ECCV), Copenhagen, June,2002.[pdf]
     


215. Parsing images into region and curve processes
     Z.W. Tu and S.C. Zhu
     Proc. of European Conf. on Computer Vision (ECCV), Copenhagen, June, 2002.[pdf]
     


216. What are textons?
     S.C. Zhu, C.E. Guo, Y.N. Wu, and Y.Z. Wang
     Proc. of European Conf. on Computer Vision (ECCV), Copenhagen, June, 2002.[pdf]
     


217. Statistical modeling of texture sketch
     Y.N. Wu, S.C. Zhu, and C.E. Guo
     Proc. of European Conf. on Computer Vision (ECCV), Copenhagen, June, 2002.[pdf]
     


218. A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
     F. Han, Z.W. Tu, and S.C. Zhu
     Proc. of European Conf. on Computer Vision (ECCV), Copenhagen, June, 2002.[pdf]
     


219. Image segmentation by data driven Markov chain Monte Carlo.
     Z. W. Tu, S. C. Zhu and H. Y. Shum.
     Proc. of Int'l Conference on Computer Vision (ICCV), Vancouver, Canada, July, 2001. [pdf]
     


220. Visual learning by integrating descriptive and generative methods.
     C. E. Guo, S. C. Zhu and Y. N. Wu
     Proc. of Int'l Conference on Computer Vision (ICCV), Vancouver, Canada, July, 2001. [pdf]
     


221. Learning inhomogeneous Gibbs models of faces by minimax entropy.
     C. Liu, S. C. Zhu, and H. Y. Shum.
     Proc Int'l Conference on Computer Vision (ICCV), Vancouver, Canada, July, 2001.[pdf]
     


222. Example-based facial sketch generation with non-parametric sampling.
     H. Chen, Y. Q. Xu, H. Y. Shum, S. C. Zhu, and N. N. Zhen.
     Proc. Int'l Conference on Computer Vision (ICCV), Vancouver, Canada, July, 2001.[pdf]
     


223. Conceptualization and Modeling of Visual Patterns
     S.C. Zhu and C.E. Guo
     Proc. of IEEE Workshop on Perceptual Organization in Computer Vision (POCV), Vancouver, Canada, July 2001.
     


224. Asymptotically admissible texture synthesis
     Y. Q. Xu, S. C. Zhu, B. N. Guo, and H. Y. Shum
     Proc. of Int'l Workshop on Statistical and Computational Theories of Vision (SCTV), Vancouver, Canada, 2001.
     


225. Integrating Top-down/Bottom-up for Object Recognition by Data Driven Markov Chain Monte Carlo
     S. C. Zhu, R. Zhang, and Z. W. Tu.
     Proc. of Int'l Conf. on Computer Vision and Pattern Recognition (CVPR), 2000.[pdf]
     


226. Order Parameter Theory for minimax entropy models: How Does High Level Knowledge Helps?
     A. L. Yuille, J. Coughlan, Y. N. Wu, and S. C. Zhu
     Proc. of Int'l Conf. on Computer Vision and Pattern Recognition (CVPR), 2000.
     


227. Learning in Gibbsian Feilds: How Accurate and How Fast can It Be?
     S.C. Zhu and X.W. Liu,
     Proc. of Int'l Conf. on Computer Vision and Pattern Recognition (CVPR), 2000.
     


228. Mathematical Modeling of Clutter: descriptive vs. generative models
     S. C. Zhu and C. E. Guo
     Proc. of SPIE AeroSense Conference on Automatic Target Recognition, Orlando, FL. 2000.
     


229. A unified framework for performance analysis in Bayesian inference.
     A. L. Yuille, J. Coughlan, and S. C. Zhu
     Proc. of SPIE AeroSense conference on Automatic Target Recognition, Orlando, FL. 2000.
     


230. Effective Bayesian Inference by Data-Driven Markov Chain Monte Carlo
     S.C. Zhu, Z. W. Tu, and R. Zhang
     Proc. of SPIE AeroSense conference on Automatic Target Recognition, Orlando, FL. 2000.
     


231. Equivalance of Julesz and Gibbs Ensembles
     Y. N. Wu, S. C. Zhu, and X. W. Liu
     Proc. of Int'l Conf on Computer Vision, Greece (ICCV), September, 1999.
     


232. Exploring Julesz Ensembles by Efficient MCMC
     S. C. Zhu, X. W. Liu, and Y.N. Wu
     Proc. of Workshop on Stat. and Comput. Theories of Vision (SCTV), Fort Collins, CO, June, 1999.
     


233. Fundamental Bounds on Edge Detection
     S. M. Konishi, J. M. Coughlan, A. L. Yuille, and S. C. Zhu
     Proc. of Int'l Conf. on Computer Vision and Pattern recognition (CVPR), 1999.
     


234. A theory for computing texture and shape
     S.C. Zhu
     Proc. of Int'l Conf. on Computational Neurosciences, Santa Barabra, 1998.
     


235. Stochastic Computation of Medial Axis in Markov Random Fields
     S. C. Zhu
     Proc. of Int'l Conf. on Computer Vision and Pattern recognition (CVPR), 1998.
     


236. A theory for shape modeling and perceptual organization
     S. C. Zhu
     IEEE Computer Society Workshop on Perceptual Organization in Computer Vision (POCV), 1998.
     


237. Clutter modeling and Performance analysis in Automatic Target recognition
     S. Zhu, A.D. Lanterman, and M.I. Miller
     Workshop on Detection and Classification of Difficult Targets,
     Redstone Arsenal, Alabama, 1998.
     


238. Gibbs Reaction And Diffusion Equations. [pdf]
     S.C. Zhu and D.B. Mumford
     Proc. 6th Int'l Conf. on Computer Vision (ICCV), 1998.
     
     
239. Learning generic prior models for visual computation.
     S. C. Zhu and D. B. Mumford.
     Proc. of Int'l. Conf. on Computer Vision and Pattern Recognition (CVPR), 1997.
     


240. Filters, Random Fields, and Maximum Entropy (FRAME): towards a unified theory for texture modeling.
     S. C. Zhu, Y. N. Wu and D. B. Mumford.
     Proc. Int'l. Conf. on Computer Vision and Pattern Recognition (CVPR), S.F. June, 1996.
     


241. FORMS: a Flexible Object Recognition and Modeling System.
     S. C. Zhu and A. L. Yuille.
     Proc. 5th Int'l Conf. on Computer Vision (ICCV), Boston. June, 1995.
     


242. Region Competition: unifying snakes, region growing, and Bayes/MDL for multi-band image segmentation.
     S. C. Zhu, T. S. Lee, and A. L. Yuille.
     Proc. 5th Int Conf. on Computer Vision (ICCV), Boston, June, 1995.