Song-Chun Zhu

发表

Inferring social roles in long timespan video sequence

Yongtian Wang, Jiangen Zhang, Wenze Hu, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation

Song-Chun Zhu, Xiaobai Liu, Yuanlu Xu, 2017, AAAI.

Learning 3D Object Templates by Quantizing Geometry and Appearance Spaces

Wenze Hu, Song-Chun Zhu, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Perceptual Scale Space and its Applications

Song-Chun Zhu, Yizhou Wang, S. Bahrami, 2005, ICCV.

Critical Features of Joint Actions that Signal Human Interaction

Song-Chun Zhu, Tianmin Shu, Steven M. Thurman, 2016, CogSci.

Minimax Entropy Principle and Its Application to Texture Modeling

Song-Chun Zhu, Ying Nian Wu, David Mumford, 1997, Neural Computation.

Monte Carlo Tree Search for Scheduling Activity Recognition

Mohamed R. Amer, Alan Fern, Song-Chun Zhu, 2013, 2013 IEEE International Conference on Computer Vision.

Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry

Tian Han, Xianglei Xing, Song-Chun Zhu, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Interactive Affordance for Human-Robot Interaction

Michael S. Ryoo, Song-Chun Zhu, Tianmin Shu, 2016 .

Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image pdf

Song-Chun Zhu, Yuanlu Xu, Yixin Zhu, 2018, ECCV.

Image representation by active curves

Wenze Hu, Song-Chun Zhu, Ying Nian Wu, 2011, 2011 International Conference on Computer Vision.

Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet

Song-Chun Zhu, Ying Nian Wu, Jianwen Xie, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Hybrid Image Templates (HIT) by Information Projection

Song-Chun Zhu, Zhangzhang Si, Song-Chun Zhu, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Animated Pose Templates for Modeling and Detecting Human Actions

Zicheng Liu, Benjamin Z. Yao, Song-Chun Zhu, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Joint Parsing of Cross-view Scenes with Spatio-temporal Semantic Parse Graphs pdf

Tao Yuan, Song-Chun Zhu, Yuanlu Xu, 2017, ArXiv.

Joint inference of groups, events and human roles in aerial videos

Song-Chun Zhu, Dan Xie, Tianmin Shu, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Graph partition by Swendsen-Wang cuts

Adrian Barbu, Song-Chun Zhu, Song-Chun Zhu, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

A Generalized Earley Parser for Human Activity Parsing and Prediction

Song-Chun Zhu, Ping Wei, Siyuan Huang, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Feeling the force: Integrating force and pose for fluent discovery through imitation learning to open medicine bottles

Feng Gao, Song-Chun Zhu, Xu Xie, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Monocular 3D Human Pose Estimation by Predicting Depth on Joints

Song-Chun Zhu, Ping Wei, Xiaohan Nie, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network

Xianglei Xing, Song-Chun Zhu, Ying Nian Wu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Mapping the Energy Landscape of Non-convex Optimization Problems

Kewei Tu, Song-Chun Zhu, Maria Pavlovskaia, 2014, EMMCVPR.

Visual Learning by Integrating Descriptive and Generative Methods

Song-Chun Zhu, Ying Nian Wu, Cheng-en Guo, 2000, ICCV.

And-Or Graph Face Model and Its Applications in Artistic Sketching and Aging Simulation

Qionghai Dai, Song-Chun Zhu, Jin-Li Suo, 2015, Encyclopedia of Biometrics.

Holistic++ Scene Understanding: Single-View 3D Holistic Scene Parsing and Human Pose Estimation With Human-Object Interaction and Physical Commonsense

Song-Chun Zhu, Yixin Zhu, Yixin Chen, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Trajectory parsing by cluster sampling in spatio-temporal graph

Hai Jin, Liang Lin, Song-Chun Zhu, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Jointly Recognizing Object Fluents and Tasks in Egocentric Videos

Yang Liu, Song-Chun Zhu, Ping Wei, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Attribute And-Or Grammar for Joint Parsing of Human Attributes, Part and Pose pdf

Song-Chun Zhu, Xiaohan Nie, Seyoung Park, 2016, ArXiv.

Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning

Song-Chun Zhu, Xu Xie, Chi Zhang, 2019, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Introduction to a Large-Scale General Purpose Ground Truth Database: Methodology, Annotation Tool and Benchmarks

Benjamin Z. Yao, Song-Chun Zhu, Xiong Yang, 2007, EMMCVPR.

Human Attribute Recognition by Rich Appearance Dictionary

Song-Chun Zhu, Shuo Wang, Jungseock Joo, 2013, 2013 IEEE International Conference on Computer Vision.

Single-Image 3D Scene Parsing Using Geometric Commonsense

Song-Chun Zhu, Xiaobai Liu, Chengcheng Yu, 2017, IJCAI.

CDI-Type II : From Data to Knowledge PRAXICON : Learning Grammars of Human Behavior 1 Introduction

Song-Chun Zhu, Song-Chun Zhu, 2009 .

Asymptotically Admissible Texture Synthesis

Baining Guo, Song-Chun Zhu, Heung-Yeung Shum, 2001 .

Proceedings of the 6th international conference on Energy minimization methods in computer vision and pattern recognition

Daniel Cremers, Alan L. Yuille, Song-Chun Zhu, 2007 .

Congestion-aware Evacuation Routing using Augmented Reality Devices

Song-Chun Zhu, Yixin Zhu, Hangxin Liu, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

CCPR 2008 Keynote Speech 3 and Keynote Speech 4

Song-Chun Zhu, 2008 .

A Survey on Age Estimation Techniques

Xilin Chen, Yun, Shuicheng Yan, 2017 .

Multigrid and multi-level Swendsen-Wang cuts for hierarchic graph partition

Adrian Barbu, Song-Chun Zhu, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Detecting potential falling objects by inferring human action and natural disturbance

Katsushi Ikeuchi, Bo Zheng, Song-Chun Zhu, 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).

MATHEMATICS OF SENSING, EXPLOITATION, AND EXECUTION (MSEE) Sensing, Exploitation, and Execution (SEE) on a Foundation for Representation, Inference, and Learning

Song-Chun Zhu, 2016 .

Learning Artistic Lighting Template from Portrait Photographs

Qinping Zhao, Xin Jin, Xiaowu Chen, 2010, ECCV.

Learning Perceptual Causality from Video

Song-Chun Zhu, Amy Sue Fire, Song-Chun Zhu, 2013, AAAI Workshop: Learning Rich Representations from Low-Level Sensors.

CERN: Confidence-Energy Recurrent Network for Group Activity Recognition

Song-Chun Zhu, Tianmin Shu, Sinisa Todorovic, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Inhomogeneous FRAME Models for Object Patterns

Wenze Hu, Song-Chun Zhu, Ying Nian Wu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Inferring Human Interaction from Motion Trajectories in Aerial Videos

Song-Chun Zhu, Yujia Peng, Tianmin Shu, 2017, CogSci.

Modeling 4D Human-Object Interactions for Joint Event Segmentation, Recognition, and Object Localization

Nanning Zheng, Song-Chun Zhu, Ping Wei, 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning generic prior models for visual computation

Song-Chun Zhu, David Mumford, D. Mumford, 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Visual Persuasion: Inferring Communicative Intents of Images

Song-Chun Zhu, Jungseock Joo, Francis F. Steen, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Effective Bayesian inference by data-driven Markov chain Monte Carlo for object recognition and image segmentation

Rong Zhang, Song-Chun Zhu, Zhuowen Tu, 2000, SPIE Defense + Commercial Sensing.

Motion-Based Generator Model: Unsupervised Disentanglement of Appearance, Trackable and Intrackable Motions in Dynamic Patterns

Song-Chun Zhu, Ying Nian Wu, Ruiqi Gao, 2019, AAAI.

Learning AND-OR Templates for Object Recognition and Detection

Song-Chun Zhu, Zhangzhang Si, Song-Chun Zhu, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Human-Centric Indoor Scene Synthesis Using Stochastic Grammar

Chenfanfu Jiang, Song-Chun Zhu, Yixin Zhu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Emergence of Pragmatics from Referential Game between Theory of Mind Agents pdf

Song-Chun Zhu, Luyao Yuan, Lu Xu, 2020, ArXiv.

From local features to global perception - A perspective of Gestalt psychology from Markov random field theory

Song-Chun Zhu, Ying Nian Wu, Song-Chun Zhu, 1999, Neurocomputing.

Program chairs' introduction to the first international workshop on stochastic image grammars (SIG-09) in conjunction with IEEE CVPR 2009

Song-Chun Zhu, Sinisa Todorovic, 2009, CVPR 2009.

Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense pdf

Joshua B. Tenenbaum, Song-Chun Zhu, Tao Gao, 2020, Engineering.

Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space

Song-Chun Zhu, Yujia Peng, Tianmin Shu, 2019, CogSci.

Learning and-or templates for object recognition by information projection

Song-Chun Zhu, Zhangzhang Si, 2011 .

What Is Where: Inferring Containment Relations from Videos

Wei Liang, Song-Chun Zhu, Yixin Zhu, 2016, IJCAI.

Inducing Sparse Coding and And-Or Grammar from Generator Network pdf

Xianglei Xing, Song-Chun Zhu, Ying Nian Wu, 2019, ArXiv.

GRADE: Gibbs reaction and diffusion equations

Song-Chun Zhu, David Mumford, D. Mumford, 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

A Unified Framework for Human-Robot Knowledge Transfer

Song-Chun Zhu, Caiming Xiong, Nishant Shukla, 2015, AAAI Fall Symposia.

Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis

Zheng Li, Nong Sang, Song-Chun Zhu, 2007, EMMCVPR.

Generalizing Swendsen-Wang to sampling arbitrary posterior probabilities

Adrian Barbu, Song-Chun Zhu, Song-Chun Zhu, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Modeling complex motion by tracking and editing hidden Markov graphs

Song-Chun Zhu, Yizhou Wang, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Layered Graph Match with Graph Editing

Yongtian Wang, Liang Lin, Song-Chun Zhu, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Primal sketch: Integrating structure and texture

Song-Chun Zhu, Ying Nian Wu, Cheng-en Guo, 2007, Comput. Vis. Image Underst..

Unsupervised Learning of Hierarchical Models for Hand-Object Interactions

Feng Gao, Song-Chun Zhu, Xu Xie, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model

Song-Chun Zhu, Tianfu Wu, Bo Li, 2014, ECCV.

Parsing Images into Regions, Curves, and Curve Groups

Zhuowen Tu, Song-Chun Zhu, Song-Chun Zhu, 2006, International Journal of Computer Vision.

Portrait painting using active templates

Song-Chun Zhu, Mingtian Zhao, Song-Chun Zhu, 2011, NPAR '11.

Inferring "Dark Matter" and "Dark Energy" from Videos

Song-Chun Zhu, Dan Xie, Sinisa Todorovic, 2013, 2013 IEEE International Conference on Computer Vision.

Statistical Modeling and Conceptualization of Visual Patterns

Song-Chun Zhu, Song-Chun Zhu, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Explainable AI as Collaborative Task Solving

Song-Chun Zhu, Sinisa Todorovic, Joyce Chai, 2019, CVPR Workshops.

Integrating bottom-up/top-down for object recognition by data driven Markov chain Monte Carlo

Rong Zhang, Song-Chun Zhu, Zhuowen Tu, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection

Song-Chun Zhu, Tianfu Wu, Song-Chun Zhu, 2015, 2013 IEEE International Conference on Computer Vision.

Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition

Mohamed R. Amer, Song-Chun Zhu, Dan Xie, 2012, ECCV.

Customizing painterly rendering styles using stroke processes

Song-Chun Zhu, Mingtian Zhao, Song-Chun Zhu, 2011, NPAR '11.

Recognizing Car Fluents from Video

Song-Chun Zhu, Caiming Xiong, Tianfu Wu, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning

Song-Chun Zhu, Hongjing Lu, Yixin Zhu, 2019, CogSci.

Joint Image-Text News Topic Detection and Tracking by Multimodal Topic And-Or Graph

Song-Chun Zhu, Hang Qi, Jungseock Joo, 2017, IEEE Transactions on Multimedia.

Interpretable CNNs pdf

Quanshi Zhang, Song-Chun Zhu, Ying Nian Wu, 2019, ArXiv.

Learning Grid-like Units with Vector Representation of Self-Position and Matrix Representation of Self-Motion pdf

Song-Chun Zhu, Ying Nian Wu, Ruiqi Gao, 2018, ArXiv.

Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy

Harry Shum, Song-Chun Zhu, Ce Liu, 2001, ICCV.

ATR applications of minimax entropy models of texture and shape

Alan L. Yuille, Song-Chun Zhu, Aaron D. Lanterman, 2001 .

CO3 for ultra-fast and accurate interactive segmentation

Siwei Luo, Song-Chun Zhu, Yibiao Zhao, 2010, ACM Multimedia.

SAVE: A framework for semantic annotation of visual events

Mun Wai Lee, Song-Chun Zhu, Niels Haering, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence pdf

Yang Lu, Song-Chun Zhu, Ying Nian Wu, 2017, ArXiv.

Discriminatively Trained And-Or Tree Models for Object Detection

Yunde Jia, Song-Chun Zhu, Tianfu Wu, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples

Yongtian Wang, Jake Porway, Liang Lin, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Visual Discourse Parsing pdf

Song-Chun Zhu, Arjun R. Akula, 2019, ArXiv.

Configurable 3D Scene Synthesis and 2D Image Rendering with Per-pixel Ground Truth Using Stochastic Grammars

Chenfanfu Jiang, Song-Chun Zhu, Demetri Terzopoulos, 2017, International Journal of Computer Vision.

An Automatic Portrait System Based on And-Or Graph Representation

Nong Sang, Song-Chun Zhu, Feng Min, 2007, EMMCVPR.

Image Parsing: Segmentation, Detection, and Recognition

Zhuowen Tu, Alan L. Yuille, Song-Chun Zhu, 2003 .

A Two-Level Generative Model for Cloth Representation and Shape from Shading

Feng Han, Song-Chun Zhu, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Prior Learning and Gibbs Reaction-Diffusion

Song-Chun Zhu, David Mumford, D. Mumford, 1997, IEEE Trans. Pattern Anal. Mach. Intell..

Interpreting CNNs via Decision Trees

Quanshi Zhang, Yu Yang, Song-Chun Zhu, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Scene-Centric Joint Parsing of Cross-View Videos

Tao Yuan, Song-Chun Zhu, Yuanlu Xu, 2017, AAAI.

Deeper Interpretability of Deep Networks pdf

Song-Chun Zhu, Philip H. S. Torr, Philippe G. Schyns, 2018, ArXiv.

High-Fidelity Grasping in Virtual Reality using a Glove-based System

Yongtian Wang, Yue Liu, Song-Chun Zhu, 2019, 2019 International Conference on Robotics and Automation (ICRA).

FORMS: A flexible object recognition and modelling system

Alan L. Yuille, Song-Chun Zhu, A. Yuille, 1995, Proceedings of IEEE International Conference on Computer Vision.

Learning in Gibbsian Fields: How Accurate and How Fast Can It Be?

Song-Chun Zhu, Xiuwen Liu, Song-Chun Zhu, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Network Transplanting pdf

Quanshi Zhang, Yu Yang, Song-Chun Zhu, 2018, ArXiv.

Deformable Template As Active Basis

Song-Chun Zhu, Ying Nian Wu, Zhangzhang Si, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Trajectory parsing by cluster sampling in spatio-temporal graph

Liang Lin, Song-Chun Zhu, Hai Jin, 2009, CVPR.

Exploring generative perspective of convolutional neural networks by learning random field models

Yang Lu, Song-Chun Zhu, Ying Nian Wu, 2018 .

Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks pdf

Quanshi Zhang, Song-Chun Zhu, Robert C. Qiu, 2018, ArXiv.

A virtual reality platform for dynamic human-scene interaction

Chenfanfu Jiang, Song-Chun Zhu, Yixin Zhu, 2016, SIGGRAPH ASIA Virtual Reality meets Physical Reality.

The Martian: Examining Human Physical Judgments across Virtual Gravity Fields

Song-Chun Zhu, Hongjing Lu, Tian Ye, 2017, IEEE Transactions on Visualization and Computer Graphics.

Unsupervised learning of event AND-OR grammar and semantics from video

Benjamin Z. Yao, Song-Chun Zhu, Mingtao Pei, 2011, 2011 International Conference on Computer Vision.

Bottom-up/top-down image parsing by attribute graph grammar

Feng Han, Song-Chun Zhu, Song-Chun Zhu, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Example-based facial sketch generation with non-parametric sampling

Nanning Zheng, Harry Shum, Hong Chen, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Unified framework for performance analysis of Bayesian inference

Alan L. Yuille, Song-Chun Zhu, James M. Coughlan, 2000, SPIE Defense + Commercial Sensing.

Bayesian reconstruction of 3D shapes and scenes from a single image

Feng Han, Song-Chun Zhu, Song-Chun Zhu, 2003, First IEEE International Workshop on Higher-Level Knowledge in 3D Modeling and Motion Analysis, 2003. HLK 2003..

Mapping Natural Image Patches by Explicit and Implicit Manifolds

Song-Chun Zhu, Kent Shi, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Unsupervised learning of stochastic AND-OR templates for object modeling

Song-Chun Zhu, Zhangzhang Si, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Learning Human-Object Interactions by Graph Parsing Neural Networks pdf

Song-Chun Zhu, Wenguan Wang, Jianbing Shen, 2018, ECCV.

What are Textons?

Song-Chun Zhu, Ying Nian Wu, Yizhou Wang, 2002, ECCV.

Learning Active Basis Model for Object Detection and Recognition

Song-Chun Zhu, Ying Nian Wu, Haifeng Gong, 2010, International Journal of Computer Vision.

Learning and parsing video events with goal and intent prediction

Benjamin Z. Yao, Song-Chun Zhu, Mingtao Pei, 2013, Comput. Vis. Image Underst..

Self-Supervised Incremental Learning for Sound Source Localization in Complex Indoor Environment

Song-Chun Zhu, Yixin Zhu, Hangxin Liu, 2019, 2019 International Conference on Robotics and Automation (ICRA).

Perceptual Scaling - eScholarship

Song-Chun Zhu, Ying Nian Wu, Cheng-En Guo, 2011 .

Task Learning through Visual Demonstration and Situated Dialogue

Changsong Liu, Song-Chun Zhu, Joyce Yue Chai, 2016, AAAI Workshop: Symbiotic Cognitive Systems.

Towards Interpretable Image Synthesis by Learning Sparsely Connected AND-OR Networks pdf

Xianglei Xing, Song-Chun Zhu, Ying Nian Wu, 2019, ArXiv.

Ieee Transactions on Pattern Analysis and Machine Intelligence Learning And-or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation

Song-Chun Zhu, Tianfu Wu, Bo Li, 2022 .

Joint action recognition and pose estimation from video

Song-Chun Zhu, Caiming Xiong, Xiaohan Nie, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

A hierarchical and contextual model for learning and recognizing highly variant visual categories

Song-Chun Zhu, Jacob Matthew Porway, Song-Chun Zhu, 2010 .

Active Basis for Modeling, Learning and Recognizing Deformable Templates

Song-Chun Zhu, Ying Nian Wu, Haifeng Gong, 2008 .

Guest Editorial: Statistical and Computational Theories of Vision: Modeling, Learning, Sampling and Computing, Part I

Alan L. Yuille, Song-Chun Zhu, David Mumford, 2000, International Journal of Computer Vision.

A high resolution grammatical model for face representation and sketching

Hong Chen, Song-Chun Zhu, Zijian Xu, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Learning Knowledge-guided Pose Grammar Machine for 3D Human Pose Estimation pdf

Song-Chun Zhu, Yuanlu Xu, Haoshu Fang, 2017, ArXiv.

MetaStyle: Three-Way Trade-Off Among Speed, Flexibility, and Quality in Neural Style Transfer pdf

Song-Chun Zhu, Chi Zhang, Yixin Zhu, 2018, AAAI.

Cosegmentation and Cosketch by Unsupervised Learning

Song-Chun Zhu, Ying Nian Wu, Jifeng Dai, 2013, 2013 IEEE International Conference on Computer Vision.

Parsing video events with goal inference and intent prediction

Yunde Jia, Song-Chun Zhu, Mingtao Pei, 2011, 2011 International Conference on Computer Vision.

Object Category Recognition Using Generative Template Boosting

Jake Porway, Liang Lin, Nong Sang, 2007, EMMCVPR.

Learning Social Affordance for Human-Robot Interaction

Michael S. Ryoo, Song-Chun Zhu, Tianmin Shu, 2016, IJCAI.

Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation

Song-Chun Zhu, Ying Nian Wu, Yixin Zhu, 2018, NeurIPS.

Theory-based Causal Transfer: Integrating Instance-level Induction and Abstract-level Structure Learning pdf

Song-Chun Zhu, Hongjing Lu, Yixin Zhu, 2019, AAAI.

Statistical Modeling of Texture Sketch

Song-Chun Zhu, Ying Nian Wu, Cheng-en Guo, 2002, ECCV.

Exploring Texture Ensembles by Efficient Markov Chain Monte Carlo-Toward a 'Trichromacy' Theory of Texture

Song-Chun Zhu, Ying Nian Wu, Xiuwen Liu, 2000, IEEE Trans. Pattern Anal. Mach. Intell..

Video Primal Sketch: A generic middle-level representation of video

Zongben Xu, Song-Chun Zhu, Zhi Han, 2011, 2011 International Conference on Computer Vision.

Learning mixed templates for object recognition

Song-Chun Zhu, Ying Nian Wu, Haifeng Gong, 2009, CVPR.

Modeling Visual Patterns by Integrating Descriptive and Generative Methods

Song-Chun Zhu, Ying Nian Wu, Cheng-en Guo, 2004, International Journal of Computer Vision.

Dynamic Pattern Synthesis by Spatial-Temporal Generative ConvNet

Song-Chun Zhu, Ying Nian Wu, Jianwen Xie, 2018 .

Mathematical modeling of clutter: descriptive vs. generative models

Song-Chun Zhu, Cheng-en Guo, 2000, SPIE Defense + Commercial Sensing.

The role of V1 in shape representation

Tai Sing Lee, Song-Chun Zhu, David Mumford, 1997 .

Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection

Song-Chun Zhu, Tianfu Wu, Song-Chun Zhu, 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning

Quanshi Zhang, Song-Chun Zhu, Ying Nian Wu, 2016, AAAI.

Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing

Song-Chun Zhu, Xiaobai Liu, Yuanlu Xu, 2017, AAAI.

Order parameters for minimax entropy distributions: when does high level knowledge help?

Alan L. Yuille, Song-Chun Zhu, Ying Nian Wu, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

A hierarchical and contextual model for aerial image understanding

Jake Porway, Benjamin Z. Yao, Song-Chun Zhu, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Bayesian Inference for Layer Representation with Mixed Markov Random Field

Nong Sang, Song-Chun Zhu, Tianfu Wu, 2007, EMMCVPR.

Learning Generative ConvNets via Multi-grid Modeling and Sampling

Yang Lu, Song-Chun Zhu, Ying Nian Wu, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning Dynamic Generator Model by Alternating Back-Propagation Through Time

Song-Chun Zhu, Ying Nian Wu, Ruiqi Gao, 2018, AAAI.

HUGE2: a Highly Untangled Generative-model Engine for Edge-computing pdf

Song-Chun Zhu, Tao Yuan, Feng Shi, 2019, ArXiv.

Visual Inference by Markov Chain Monte Carlo Methods

Song-Chun Zhu, 2003 .

Predicting Human Activities Using Stochastic Grammar

Song-Chun Zhu, Ping Wei, Siyuan Huang, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Mining Object Parts from CNNs via Active Question-Answering

Quanshi Zhang, Song-Chun Zhu, Ying Nian Wu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Layered Graph Matching with Composite Cluster Sampling

Liang Lin, Song-Chun Zhu, Xiaobai Liu, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A generative model of human hair for hair sketching

Hong Chen, Song-Chun Zhu, Song-Chun Zhu, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Reasoning Visual Dialogs With Structural and Partial Observations

Song-Chun Zhu, Wenguan Wang, Siyuan Qi, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose

Song-Chun Zhu, Seyoung Park, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Video Stylization: Painterly Rendering and Optimization With Content Extraction

Liang Lin, Song-Chun Zhu, Ying-Qing Xu, 2013, IEEE Transactions on Circuits and Systems for Video Technology.

Parsing Images into Region and Curve Processes

Zhuowen Tu, Song-Chun Zhu, Song-Chun Zhu, 2002, ECCV.

Human parsing using stochastic and-or grammars and rich appearances

Song-Chun Zhu, Brandon Rothrock, 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

Cross-View Action Modeling, Learning, and Recognition

Ying Wu, Jiang Wang, Song-Chun Zhu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

A Hierarchical Compositional Model for Face Representation and Sketching

Hong Chen, Jiebo Luo, Song-Chun Zhu, 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Evaluating Human Cognition of Containing Relations with Physical Simulation

Wei Liang, Song-Chun Zhu, Yixin Zhu, 2015, CogSci.

Learning deformable action templates from cluttered videos

Benjamin Z. Yao, Song-Chun Zhu, 2009, 2009 IEEE 12th International Conference on Computer Vision.

A Reconfigurable Tangram Model for Scene Representation and Categorization

Jun Zhu, Wenjun Zhang, Xiaokang Yang, 2016, IEEE Transactions on Image Processing.

Abstract painting with interactive control of perceptual entropy

Song-Chun Zhu, Mingtian Zhao, Song-Chun Zhu, 2013, TAP.

Learning and Inferring “Dark Matter” and Predicting Human Intents and Trajectories in Videos

Song-Chun Zhu, Dan Xie, Tianmin Shu, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Interactive Agent Modeling by Learning to Probe pdf

Song-Chun Zhu, Ying Nian Wu, Tianmin Shu, 2018, ArXiv.

Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem

Chenfanfu Jiang, Song-Chun Zhu, Hongjing Lu, 2016, CogSci.

Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification

Song-Chun Zhu, Yuanlu Xu, Wenguan Wang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Modeling and Inferring Human Intents and Latent Functional Objects for Trajectory Prediction pdf

Song-Chun Zhu, Dan Xie, Tianmin Shu, 2016, ArXiv.

Flow mosaicking: Real-time pedestrian counting without scene-specific learning

Yandong Tang, Song-Chun Zhu, Haifeng Gong, 2009, CVPR.

Background modeling by subspace learning on spatio-temporal patches

Yunde Jia, Song-Chun Zhu, Haifeng Gong, 2012, Pattern Recognit. Lett..

Order Parameters for Detecting Target Curves in Images: When Does High Level Knowledge Help?

Alan L. Yuille, Song-Chun Zhu, Ying Nian Wu, 2004, International Journal of Computer Vision.

Learning social affordance grammar from videos: Transferring human interactions to human-robot interactions

Michael S. Ryoo, Song-Chun Zhu, Xiaofeng Gao, 2017, 2017 IEEE International Conference on Robotics and Automation (ICRA).

A multi-scale generative model for animate shapes and parts

Song-Chun Zhu, Aleksandr Dubinskiy, Song-Chun Zhu, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Weakly Supervised Learning for Attribute Localization in Outdoor Scenes

Song-Chun Zhu, Shuo Wang, Yizhou Wang, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

I2T: Image Parsing to Text Description The key component of this image parsing system is a database of annotated Internet data generated under the control of an independent organization.

Liang Lin, Mun Wai Lee, Benjamin Z. Yao, 2010 .

Joint Image-Text News Topic Detection and Tracking with And-Or Graph Representation pdf

Song-Chun Zhu, Hang Qi, Jungseock Joo, 2015, ArXiv.

Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling

Song-Chun Zhu, Ying Nian Wu, David Mumford, 1998, International Journal of Computer Vision.

Painterly animation using video semantics and feature correspondence

Liang Lin, Song-Chun Zhu, Ying-Qing Xu, 2010, NPAR.

A Numerical Study of the Bottom-Up and Top-Down Inference Processes in And-Or Graphs

Song-Chun Zhu, Tianfu Wu, Song-Chun Zhu, 2011, International Journal of Computer Vision.

A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction

Zhuowen Tu, Feng Han, Song-Chun Zhu, 2002, ECCV.

Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction pdf

Song-Chun Zhu, Siyuan Qi, Baoxiong Jia, 2018, ICML.

Evaluating information contributions of bottom-up and top-down processes

Song-Chun Zhu, Tianfu Wu, Xiong Yang, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Concurrent Action Detection with Structural Prediction

Nanning Zheng, Song-Chun Zhu, Ping Wei, 2013, 2013 IEEE International Conference on Computer Vision.

Inferring Shared Attention in Social Scene Videos

Song-Chun Zhu, Wenguan Wang, Ping Wei, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Intent-Aware Multi-Agent Reinforcement Learning

Song-Chun Zhu, Siyuan Qi, Song-Chun Zhu, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Modeling images and textures by minimax entropy

Song-Chun Zhu, Ying Nian Wu, David Mumford, 1997, Electronic Imaging.

Learning Hierarchical Space Tiling for Scene Modeling, Parsing and Attribute Tagging

Song-Chun Zhu, Shuo Wang, Yizhou Wang, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A mathematical theory of textons and primal sketch: integrating generative and descriptive methods

Song-Chun Zhu, Cheng-En Guo, 2005 .

Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics

Katsushi Ikeuchi, Bo Zheng, Song-Chun Zhu, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Integration and goal-guided scheduling of bottom-up and top-down computing processes in hierarchical models

Song-Chun Zhu, Tianfu Wu, Song-Chun Zhu, 2011 .

Equivalence of Julesz and Gibbs texture ensembles

Song-Chun Zhu, Ying Nian Wu, Xiuwen Liu, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Actional-Perceptual Causality: Concepts and Inductive Learning for AI and Robotics

Song-Chun Zhu, Seng-Beng Ho, Mark Edmonds, 2020, 2020 IEEE Symposium Series on Computational Intelligence (SSCI).

Image Segmentation by Data-Driven Markov Chain Monte Carlo

Zhuowen Tu, Song-Chun Zhu, Song-Chun Zhu, 2002, IEEE Trans. Pattern Anal. Mach. Intell..

Embedding Gestalt Laws in Markov Random Fields

Song-Chun Zhu, Song-Chun Zhu, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

Single-View 3D Scene Reconstruction and Parsing by Attribute Grammar

Song-Chun Zhu, Xiaobai Liu, Yibiao Zhao, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Sparse Winograd Convolutional Neural Networks on Small-scale Systolic Arrays

Feng Shi, Song-Chun Zhu, Haochen Li, 2018, FPGA.

Erratum to: Artistic Rendering of Portraits

Song-Chun Zhu, Mingtian Zhao, Song-Chun Zhu, 2013, Image and Video-Based Artistic Stylisation.

C^4: Exploring Multiple Solutions in Graphical Models by Cluster Sampling

Song-Chun Zhu, Jacob Porway, Song-Chun Zhu, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning Grid Cells as Vector Representation of Self-Position Coupled with Matrix Representation of Self-Motion

Song-Chun Zhu, Ying Nian Wu, Ruiqi Gao, 2018, ICLR.

Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face

Song-Chun Zhu, Jungseock Joo, Francis F. Steen, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Learning in Gibbsian fields: how accurate and how fast can it be?

Song-Chun Zhu, Xiuwen Liu, Song-Chun Zhu, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Visual interpretability for deep learning: a survey

Quanshi Zhang, Song-Chun Zhu, Song-Chun Zhu, 2018, Frontiers of Information Technology & Electronic Engineering.

Mining deep And-Or object structures via cost-sensitive question-answer-based active annotations

Quanshi Zhang, Song-Chun Zhu, Ying Nian Wu, 2017, Comput. Vis. Image Underst..

A hierarchical compositional model for representation and sketching of high-resolution human images

Song-Chun Zhu, Zijian Xu, Song-Chun Zhu, 2007 .

A Causal And-Or Graph Model for Visibility Fluent Reasoning in Human-Object Interactions pdf

Song-Chun Zhu, Yuanlu Xu, Lei Qin, 2017, ArXiv.

Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering

Quanshi Zhang, Song-Chun Zhu, Ying Nian Wu, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Bottom-Up/Top-Down Image Parsing with Attribute Grammar

Feng Han, Song-Chun Zhu, Song-Chun Zhu, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Compositional Boosting for Computing Hierarchical Image Structures

Gui-Song Xia, Song-Chun Zhu, Tianfu Wu, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Single-View 3D Scene Parsing by Attributed Grammar

Song-Chun Zhu, Xiaobai Liu, Yibiao Zhao, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Learning reconfigurable scene representation by tangram model

Jun Zhu, Wenjun Zhang, Xiaokang Yang, 2012, 2012 IEEE Workshop on the Applications of Computer Vision (WACV).

Interactive Robot Knowledge Patching Using Augmented Reality

Song-Chun Zhu, Xu Xie, Yixin Zhu, 2018, 2018 IEEE International Conference on Robotics and Automation (ICRA).

Layered graph matching by composite cluster sampling with collaborative and competitive interactions

Liang Lin, Song-Chun Zhu, Kun Zeng, 2009, CVPR.

CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines

Song-Chun Zhu, Shuai Wang, Arjun R. Akula, 2020, AAAI.

Multi-view People Tracking via Hierarchical Trajectory Composition

Yang Liu, Song-Chun Zhu, Xiaobai Liu, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs

Song-Chun Zhu, Tao Gao, Yixin Zhu, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Attribute And-Or Grammar for Joint Parsing of Human Pose, Parts and Attributes

Song-Chun Zhu, Seyoung Park, Bruce Xiaohan Nie, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Introduction by Guest Editors

Alan L. Yuille, Song-Chun Zhu, David Mumford, 2004, International Journal of Computer Vision.

Stochastic computation of medial axis in Markov random fields

Song-Chun Zhu, Song-Chun Zhu, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

A Restricted Visual Turing Test for Deep Scene and Event Understanding pdf

Mun Wai Lee, Song-Chun Zhu, Tianfu Wu, 2015, ArXiv.

Online Object Tracking, Learning and Parsing with And-Or Graphs

Yang Lu, Song-Chun Zhu, Tianfu Wu, 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Modeling complex motion: photometric, geometric, dynamic, and topological aspects

Song-Chun Zhu, Yizhou Wang, 2005 .

A Theory of Generative ConvNet pdf

Yang Lu, Song-Chun Zhu, Ying Nian Wu, 2016, ICML.

A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects

Song-Chun Zhu, Yuanlu Xu, Lei Qin, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Towards a mathematical theory of primal sketch and sketchability

Song-Chun Zhu, Ying Nian Wu, Cheng-en Guo, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Natural Language Interaction with Explainable AI Models

Song-Chun Zhu, Sinisa Todorovic, Joyce Yue Chai, 2019, CVPR Workshops.

Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning

Song-Chun Zhu, Wenguan Wang, Siyuan Huang, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Synthesizing Dynamic Textures and Sounds by Spatial-Temporal Generative ConvNet pdf

Song-Chun Zhu, Ying Nian Wu, Jianwen Xie, 2016, ArXiv.

Range image segmentation by an effective jump-diffusion method

Zhuowen Tu, Feng Han, Song-Chun Zhu, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A glove-based system for studying hand-object manipulation via joint pose and force sensing

Feng Gao, Song-Chun Zhu, Xu Xie, 2017, 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning FRAME Models Using CNN Filters

Yang Lu, Song-Chun Zhu, Ying Nian Wu, 2015, AAAI.

Sparse and deep generalizations of the FRAME model

Yang Lu, Song-Chun Zhu, Ying Nian Wu, 2018 .

An integrated background model for video surveillance based on primal sketch and 3D scene geometry

Yongtian Wang, Wenze Hu, Song-Chun Zhu, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

A Hierarchical and Contextual Model for Aerial Image Parsing

Jake Porway, Song-Chun Zhu, Qiongchen Wang, 2010, International Journal of Computer Vision.

FORMS: A flexible object recognition and modelling system

Alan L. Yuille, Song-Chun Zhu, A. Yuille, 1996, International Journal of Computer Vision.

Layered graph matching by composite cluster sampling with collaborative and competitive interactions

Liang Lin, Song-Chun Zhu, Xiaobai Liu, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Information Scaling Laws in Natural Scenes

Song-Chun Zhu, Ying Nian Wu, Cheng-en Guo, 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

Learning Deep Generative Models with Short Run Inference Dynamics pdf

Tian Han, Erik Nijkamp, Song-Chun Zhu, 2019, ArXiv.

Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events

Wei Liang, Chenfanfu Jiang, Song-Chun Zhu, 2018, 2018 IEEE Conference on Virtual Reality and 3D User Interfaces (VR).

Explanatory Graphs for CNNs pdf

Quanshi Zhang, Feng Shi, Xin Wang, 2018, ArXiv.

VRKitchen: an Interactive 3D Virtual Environment for Task-oriented Learning pdf

Song-Chun Zhu, Xiaofeng Gao, Xu Xie, 2019, ArXiv.

Cloth Representation by Shape from Shading

Song-Chun Zhu, Feng Han, 2011 .

Joint Video and Text Parsing for Understanding Events and Answering Queries

Kewei Tu, Mun Wai Lee, Song-Chun Zhu, 2013, IEEE MultiMedia.

Hierarchical organization by and-or tree

Song-Chun Zhu, Shuo Wang, Jungseock Joo, 2015 .

Inferring Context Through Scene Understanding

Song-Chun Zhu, Michael Walton, Doug Lange, 2017, AAAI Spring Symposia.

Analysis and synthesis of textured motion: particles and waves

Song-Chun Zhu, Yizhou Wang, Song-Chun Zhu, 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Object Categorization: Learning Compositional Models for Object Categories from Small Sample Sets

Jake Porway, Benjamin Z. Yao, Song-Chun Zhu, 2008 .

Incorporating visual knowledge representation in stereo reconstruction

Adrian Barbu, Song-Chun Zhu, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Discovering scene categories by information projection and cluster sampling

Dengxin Dai, Song-Chun Zhu, Tianfu Wu, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Inferring Forces and Learning Human Utilities from Videos

Chenfanfu Jiang, Song-Chun Zhu, Demetri Terzopoulos, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning explicit and implicit visual manifolds by information projection

Song-Chun Zhu, Zhangzhang Si, Kent Shi, 2010, Pattern Recognit. Lett..

A tale of two explanations: Enhancing human trust by explaining robot behavior

Song-Chun Zhu, Ying Nian Wu, Xu Xie, 2019, Science Robotics.

Image Parsing: Unifying Segmentation, Detection, and Recognition

Zhuowen Tu, Alan L. Yuille, Song-Chun Zhu, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Unsupervised learning of compositional sparse code for natural image representation

Yi Hong, Wenze Hu, Song-Chun Zhu, 2013 .

Rates for Inductive Learning of Compositional Models

Adrian Barbu, Song-Chun Zhu, Maria Pavlovskaia, 2013, AAAI Workshop: Learning Rich Representations from Low-Level Sensors.

Online Object Tracking, Learning, and Parsing with And-Or Graphs

Yang Lu, Song-Chun Zhu, Tianfu Wu, 2014, CVPR.

Fundamental bounds on edge detection: an information theoretic evaluation of different edge cues

Alan L. Yuille, Song-Chun Zhu, James M. Coughlan, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Learning Sparse FRAME Models for Natural Image Patterns

Wenze Hu, Song-Chun Zhu, Ying Nian Wu, 2014, International Journal of Computer Vision.

Mining And-Or Graphs for Graph Matching and Object Discovery

Quanshi Zhang, Song-Chun Zhu, Ying Nian Wu, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions

Wei Liang, Song-Chun Zhu, Yixin Zhu, 2018, AAAI.

Computing three-dimensional scene from a single image by bottom-up/top-down bayesian inference

Song-Chun Zhu, Feng Han, 2005 .

Building a Telescope to Look Into High-Dimensional Image Spaces pdf

Erik Nijkamp, Song-Chun Zhu, Mitch Hill, 2018, Quarterly of Applied Mathematics.

International Workshop on Semantic Learning Applications in Multimedia (SLAM)

Song-Chun Zhu, Qi Tian, Yi Wu, 2007 .

And-Or Graph Model for Faces

Song-Chun Zhu, Feng Min, Jin-Li Suo, 2009, Encyclopedia of Biometrics.

Scene Understanding by Reasoning Stability and Safety

Katsushi Ikeuchi, Bo Zheng, Song-Chun Zhu, 2015, International Journal of Computer Vision.

Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns

Song-Chun Zhu, Ying Nian Wu, Jianwen Xie, 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Human Causal Transfer: Challenges for Deep Reinforcement Learning

Song-Chun Zhu, Hongjing Lu, Yixin Zhu, 2018, CogSci.

A Cost-Sensitive Visual Question-Answer Framework for Mining a Deep And-OR Object Semantics from Web Images pdf

Quanshi Zhang, Song-Chun Zhu, Ying Nian Wu, 2017, ArXiv.

Artistic Rendering of Portraits

Song-Chun Zhu, Mingtian Zhao, 2013, Image and Video-Based Artistic Stylisation.

Image Parsing with Stochastic Scene Grammar

Song-Chun Zhu, Yibiao Zhao, Song-Chun Zhu, 2011, NIPS.

On the Anatomy of MCMC-based Maximum Likelihood Learning of Energy-Based Models pdf

Tian Han, Erik Nijkamp, Song-Chun Zhu, 2019, AAAI.

Evaluating physical quantities and learning human utilities from RGBD videos

Chenfanfu Jiang, Song-Chun Zhu, Demetri Terzopoulos, 2016, SIGGRAPH ASIA Virtual Reality meets Physical Reality.

Cooperative Training of Descriptor and Generator Networks

Yang Lu, Song-Chun Zhu, Ying Nian Wu, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Inferring Human Attention by Learning Latent Intentions

Nanning Zheng, Song-Chun Zhu, Dan Xie, 2017, IJCAI.

X-ToM: Explaining with Theory-of-Mind for Gaining Justified Human Trust pdf

Song-Chun Zhu, Hongjing Lu, Sinisa Todorovic, 2019, ArXiv.

A Generative Method for Textured Motion: Analysis and Synthesis

Song-Chun Zhu, Yizhou Wang, Song-Chun Zhu, 2002, ECCV.

Design sparse features for age estimation using hierarchical face model

Wen Gao, Shiguang Shan, Xilin Chen, 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.

A Compositional and Dynamic Model for Face Aging

Shiguang Shan, Xilin Chen, Song-Chun Zhu, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning FRAME Models Using CNN Filters for Knowledge Visualization pdf

Yang Lu, Song-Chun Zhu, Ying Nian Wu, 2015, ArXiv.

On Learning Non-Convergent Short-Run MCMC Toward Energy-Based Model pdf

Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu, 2019, ArXiv.

Hierarchical Space Tiling for Scene Modeling

Song-Chun Zhu, Shuo Wang, Yizhou Wang, 2012, ACCV.

A generative sketch model for human hair analysis and synthesis

Hong Chen, Song-Chun Zhu, Song-Chun Zhu, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Statistical Edge Detection: Learning and Evaluating Edge Cues

Alan L. Yuille, Song-Chun Zhu, James M. Coughlan, 2003, IEEE Trans. Pattern Anal. Mach. Intell..

Mining a Deep And-OR Object Semantics from Web Images via Cost-Sensitive Question-Answer-Based Active Annotations

Quanshi Zhang, Song-Chun Zhu, Hao Zhang, 2017 .

Modeling textured motion : particle, wave and sketch

Song-Chun Zhu, Yizhou Wang, Song-Chun Zhu, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Image Parsing: Unifying Segmentation, Detection, and Recognition

Zhuowen Tu, Alan L. Yuille, Song-Chun Zhu, 2005, International Journal of Computer Vision.

Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions

Chenfanfu Jiang, Song-Chun Zhu, Yixin Zhu, 2019, AAAI.

Learning a scene contextual model for tracking and abnormality detection

Benjamin Z. Yao, Song-Chun Zhu, Liang Wang, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Inferring Hidden Statuses and Actions in Video by Causal Reasoning

Song-Chun Zhu, Amy Sue Fire, Song-Chun Zhu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Interpretable Convolutional Neural Networks

Quanshi Zhang, Song-Chun Zhu, Ying Nian Wu, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning Generative ConvNet with Continuous Latent Factors by Alternating Back-Propagation pdf

Tian Han, Yang Lu, Song-Chun Zhu, 2016, ArXiv.

Sisley the abstract painter

Song-Chun Zhu, Mingtian Zhao, Song-Chun Zhu, 2010, NPAR.

Intrackability: Characterizing Video Statistics and Pursuing Video Representations

Song-Chun Zhu, Haifeng Gong, Song-Chun Zhu, 2012, International Journal of Computer Vision.

Reconfigurable templates for robust vehicle detection and classification

Yongtian Wang, Benjamin Z. Yao, Song-Chun Zhu, 2012, 2012 IEEE Workshop on the Applications of Computer Vision (WACV).

Unsupervised Structure Learning of Stochastic And-Or Grammars

Kewei Tu, Song-Chun Zhu, Maria Pavlovskaia, 2013, NIPS.

Region Competition and its Analysis: A Unified Theory for Image Segmentation

Song-Chun Zhu, Alan Yuille, A. Yuille, 1995 .

Perceptual Scale-Space and Its Applications

Song-Chun Zhu, Yizhou Wang, Song-Chun Zhu, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

RAVEN: A Dataset for Relational and Analogical Visual REasoNing

Feng Gao, Song-Chun Zhu, Yixin Zhu, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Modeling Occlusion by Discriminative AND-OR Structures

Wenze Hu, Song-Chun Zhu, Tianfu Wu, 2013, 2013 IEEE International Conference on Computer Vision.

Artistic paper-cut of human portraits

Song-Chun Zhu, Meng Meng, Mingtian Zhao, 2010, ACM Multimedia.

Statistical Principles in Image Modeling

Ziqiang Liu, Song-Chun Zhu, Ying Nian Wu, 2007, Technometrics.

Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model

Tian Han, Erik Nijkamp, Song-Chun Zhu, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Robot learning with a spatial, temporal, and causal and-or graph

Song-Chun Zhu, Caiming Xiong, Nishant Shukla, 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA).

Representation Learning: A Statistical Perspective pdf

Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu, 2019, Annual Review of Statistics and Its Application.

Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning

Song-Chun Zhu, Wenhe Zhang, Chi Zhang, 2020, AAAI.

Where and Why are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks

Nanning Zheng, Yang Liu, Song-Chun Zhu, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Alternating Back-Propagation for Generator Network

Tian Han, Yang Lu, Song-Chun Zhu, 2016, AAAI.

FRAME: filters, random fields, and minimax entropy towards a unified theory for texture modeling

Song-Chun Zhu, Ying Nian Wu, David Mumford, 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

A Tale of Three Probabilistic Families: Discriminative, Descriptive and Generative Models pdf

Tian Han, Song-Chun Zhu, Ying Nian Wu, 2018, Quarterly of Applied Mathematics.

Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task

Song-Chun Zhu, Hongjing Lu, Yixin Zhu, 2017, CogSci.

On the Relationship Between Image and Motion Segmentation

Adrian Barbu, Song-Chun Zhu, 2004, SCVMA.

Image segmentation by data driven Markov chain Monte Carlo

Harry Shum, Zhuowen Tu, Song-Chun Zhu, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Recognizing Unseen Attribute-Object Pair with Generative Model

Nanning Zheng, Yang Liu, Song-Chun Zhu, 2019, AAAI.

Interactively Transferring CNN Patterns for Part Localization pdf

Quanshi Zhang, Song-Chun Zhu, Ying Nian Wu, 2017, ArXiv.

Cloth representation by shape from shading with shading primitives

Feng Han, Song-Chun Zhu, Song-Chun Zhu, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Unsupervised Learning of Dictionaries of Hierarchical Compositional Models

Wenze Hu, Song-Chun Zhu, Ying Nian Wu, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics

Chenfanfu Jiang, Song-Chun Zhu, Hongjing Lu, 2017, CogSci.

Stochastic Jump-Diffusion Process for Computing Medial Axes in Markov Random Fields

Song-Chun Zhu, Song-Chun Zhu, 1999, IEEE Trans. Pattern Anal. Mach. Intell..

Flow mosaicking: Real-time pedestrian counting without scene-specific learning

Yandong Tang, Song-Chun Zhu, Haifeng Gong, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Scene Parsing by Integrating Function, Geometry and Appearance Models

Song-Chun Zhu, Yibiao Zhao, Song-Chun Zhu, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

Perception of Human Interaction Based on Motion Trajectories: From Aerial Videos to Decontextualized Animations

Song-Chun Zhu, Yujia Peng, Tianmin Shu, 2018, Top. Cogn. Sci..

Integrating Grammar and Segmentation for Human Pose Estimation

Song-Chun Zhu, Brandon Rothrock, Seyoung Park, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

VRGym: a virtual testbed for physical and interactive AI

Feng Gao, Song-Chun Zhu, Xu Xie, 2019, ACM TUR-C.

Equivalence of Julesz Ensembles and FRAME Models

Song-Chun Zhu, Ying Nian Wu, Xiuwen Liu, 2000, International Journal of Computer Vision.

Examining CNN representations with respect to Dataset Bias

Quanshi Zhang, Song-Chun Zhu, Wenguan Wang, 2017, AAAI.

Modeling 4D Human-Object Interactions for Event and Object Recognition

Nanning Zheng, Song-Chun Zhu, Ping Wei, 2013, 2013 IEEE International Conference on Computer Vision.

Video Primal Sketch: A Unified Middle-Level Representation for Video

Zongben Xu, Song-Chun Zhu, Zhi Han, 2015, Journal of Mathematical Imaging and Vision.

Using Causal Induction in Humans to Learn and Infer Causality from Video

Song-Chun Zhu, Amy Sue Fire, Song-Chun Zhu, 2013, CogSci.

Understanding tools: Task-oriented object modeling, learning and recognition

Song-Chun Zhu, Yixin Zhu, Yibiao Zhao, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics

Song-Chun Zhu, Nishant Shukla, Frank Chen, 2017, CoRL.

Keynote Talk: Generative Hierarchical Models for Image Analysis

Sanja Fidler, Song-Chun Zhu, Sinisa Todorovic, 2009 .

I2T: Image Parsing to Text Description

Liang Lin, Mun Wai Lee, Benjamin Z. Yao, 2010, Proceedings of the IEEE.

Inferring human intent from video by sampling hierarchical plans

Joshua B. Tenenbaum, Tao Gao, Song-Chun Zhu, 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Represent and Infer Human Theory of Mind for Human-Robot Interaction

Tao Gao, Song-Chun Zhu, Steven Holtzen, 2015, AAAI Fall Symposia.

Generative Hierarchical Learning of Sparse FRAME Models

Erik Nijkamp, Song-Chun Zhu, Ying Nian Wu, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Structure vs. Appearance and 3D vs. 2D? A Numeric Answer

Wenze Hu, Song-Chun Zhu, Zhangzhang Si, 2013, Shape Perception in Human and Computer Vision.

Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation

Alan L. Yuille, Song-Chun Zhu, A. Yuille, 1996, IEEE Trans. Pattern Anal. Mach. Intell..

Learning a probabilistic model mixing 3D and 2D primitives for view invariant object recognition

Wenze Hu, Song-Chun Zhu, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Mapping Energy Landscapes of Non-Convex Learning Problems pdf

Kewei Tu, Song-Chun Zhu, Maria Pavlovskaia, 2014, ArXiv.

Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration

Song-Chun Zhu, Shaohua Yang, Joyce Yue Chai, 2016, EMNLP.

DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare

Song-Chun Zhu, Yuanlu Xu, Tony Tung, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Joint Cosegmentation and Cosketch by Unsupervised Learning

Song-Chun Zhu, Ying Nian Wu, Jifeng Dai, 2014 .

Interpreting CNN knowledge via an Explanatory Graph pdf

Quanshi Zhang, Feng Shi, Song-Chun Zhu, 2017, AAAI.

Grounded Semantic Role Labeling

Changsong Liu, Song-Chun Zhu, Shaohua Yang, 2016, NAACL.

Learning Descriptor Networks for 3D Shape Synthesis and Analysis

Song-Chun Zhu, Ying Nian Wu, Wenguan Wang, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Multi-Shot Mining Semantic Part Concepts in CNNs pdf

Quanshi Zhang, Song-Chun Zhu, Ying Nian Wu, 2016, ArXiv.

VRKitchen: an Interactive 3D Environment for Learning Real Life Cooking Tasks

Song-Chun Zhu, Xu Xie, Tianmin Shu, 2019 .

From image parsing to painterly rendering

Song-Chun Zhu, Caiming Xiong, Kun Zeng, 2009, TOGS.

Towards Socially Intelligent Agents with Mental State Transition and Human Utility pdf

Weiyan Shi, Zhou Yu, Song-Chun Zhu, 2021, ArXiv.

Learning from the Tangram to Solve Mini Visual Tasks pdf

Song-Chun Zhu, Feng Shi, Liang Qiu, 2021, ArXiv.

Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation

Song-Chun Zhu, Ying Nian Wu, Jianwen Xie, 2021, AAAI.

Learning Triadic Belief Dynamics in Nonverbal Communication from Videos

Song-Chun Zhu, Shuwen Qiu, Tao Gao, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis pdf

Narayanan Vijaykrishnan, Song-Chun Zhu, Feng Shi, 2021, ArXiv.

CX-ToM: Counterfactual explanations with theory-of-mind for enhancing human trust in image recognition models pdf

Song-Chun Zhu, Sinisa Todorovic, Sari Saba-Sadiya, 2021, iScience.

Show Me What You Can Do: Capability Calibration on Reachable Workspace for Human-Robot Collaboration pdf

Song-Chun Zhu, Tianmin Shu, Xiaofeng Gao, 2022, IEEE Robotics and Automation Letters.

CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization

Song-Chun Zhu, Radu Soricut, Boqing Gong, 2021, EMNLP.

Representing physical and social events within a unified psychological space

Song-Chun Zhu, Tianmin Shu, Yujia Peng, 2021 .

Discourse Analysis for Evaluating Coherence in Video Paragraph Captions pdf

Song-Chun Zhu, Arjun R Akula, 2022, ArXiv.

ValueNet: A New Dataset for Human Value Driven Dialogue System pdf

Song-Chun Zhu, Baolin Peng, Jinchao Li, 2021, ArXiv.

Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective

Song-Chun Zhu, Ziyuan Jiao, Yixin Zhu, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Learning by Fixing: Solving Math Word Problems with Weak Supervision

Song-Chun Zhu, Siyuan Huang, Yining Hong, 2020, AAAI.

Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution

Song-Chun Zhu, Baoxiong Jia, Yixin Zhu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

GenMotion: Data-driven Motion Generators for Real-time Animation Synthesis pdf

Song-Chun Zhu, Feng Shi, Liang Qiu, 2021, ArXiv.

Extraction of an Explanatory Graph to Interpret a CNN

Quanshi Zhang, Song-Chun Zhu, Ying Nian Wu, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A HINT from Arithmetic: On Systematic Generalization of Perception, Syntax, and Semantics pdf

Song-Chun Zhu, Ying Nian Wu, Yixin Zhu, 2021, ArXiv.

Iterative Teacher-Aware Learning pdf

Song-Chun Zhu, Ying Nian Wu, Quanquan Gu, 2021, NeurIPS.

ACRE: Abstract Causal REasoning Beyond Covariation

Song-Chun Zhu, Baoxiong Jia, Yixin Zhu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Attention cannot be an Explanation

Song-Chun Zhu, Arjun R Akula, Song-Chun Zhu, 2022, ArXiv.

VLGrammar: Grounded Grammar Induction of Vision and Language pdf

Song-Chun Zhu, Siyuan Huang, Yining Hong, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

GRICE: A Grammar-based Dataset for Recovering Implicature and Conversational rEasoning

Song-Chun Zhu, Zilong Zheng, Shuwen Qiu, 2021, FINDINGS.

Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations

Song-Chun Zhu, Ziyuan Jiao, Yixin Zhu, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Mind the Context: The Impact of Contextualization in Neural Module Networks for Grounding Visual Referring Expressions

Song-Chun Zhu, Siva Reddy, Spandana Gella, 2021, EMNLP.

Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds pdf

Song-Chun Zhu, Siyuan Huang, Yixin Zhu, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues

Zhou Yu, Song-Chun Zhu, Ying Nian Wu, 2021, ACL/IJCNLP.

Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning pdf

Song-Chun Zhu, Ying Nian Wu, Sirui Xie, 2021, ArXiv.

IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning pdf

Zhou Yu, Song-Chun Zhu, Liang Qiu, 2021, ArXiv.

YouRefIt: Embodied Reference Understanding with Language and Gesture pdf

Deqian Kong, Song-Chun Zhu, Siyuan Huang, 2021, IEEE International Conference on Computer Vision.

STAR: Sparse Transformer-based Action Recognition pdf

Tian Han, Song-Chun Zhu, Feng Shi, 2021, ArXiv.

HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving pdf

Song-Chun Zhu, Ying Nian Wu, Sirui Xie, 2021, ArXiv.

Synthesizing Diverse and Physically Stable Grasps With Arbitrary Hand Structures Using Differentiable Force Closure Estimator

Song-Chun Zhu, Ziyuan Jiao, Zeyu Liu, 2022, IEEE Robotics and Automation Letters.

Emergence of Theory of Mind Collaboration in Multiagent Systems pdf

Song-Chun Zhu, Luyao Yuan, Zipeng Fu, 2021, ArXiv.

VersaGNN: a Versatile accelerator for Graph neural networks pdf

Song-Chun Zhu, Feng Shi, Ahren Yiqiao Jin, 2021, ArXiv.

Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning pdf

Song-Chun Zhu, Pan Lu, Ran Gong, 2021, ACL.

Effective Representation to Capture Collaboration Behaviors between Explainer and User pdf

Song-Chun Zhu, Arjun Akula, 2022, ArXiv.

Emergent Graphical Conventions in a Visual Communication Game

Song-Chun Zhu, Sirui Xie, Shuwen Qiu, 2021 .

Unsupervised Foreground Extraction via Deep Region Competition pdf

Song-Chun Zhu, Ying Nian Wu, Sirui Xie, 2021, NeurIPS.

Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments

Song-Chun Zhu, Xu Xie, Ziyuan Jiao, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance

Song-Chun Zhu, Ying Nian Wu, Xu Xie, 2021, 2021 IEEE International Conference on Robotics and Automation (ICRA).

Joint Training of Variational Auto-Encoder and Latent Energy-Based Model

Tian Han, Erik Nijkamp, Song-Chun Zhu, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Mapping the Ensemble of Natural Image Patches by Explicit and Implicit Manifolds

Song-Chun Zhu, Kent Shi, 2007 .

Knowledge Via An Explanatory Graph

Quanshi Zhang, Song-Chun Zhu, Ying Nian Wu, 2017 .

Automatic Single View Building Reconstruction by Integrating Segmentation

Song-Chun Zhu, Feng Han, 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

Re ion COm et it ion: Unifying Snakes,Region Growing, inergy/Bayes P MDL for Multi-band Image Segmentation

Alan L. Yuille, Song-Chun Zhu, T. S. Lee, 1995 .

Action Understanding

Jinli Suo, R. A. Hicklin, Song-Chun Zhu, 2009, Encyclopedia of Biometrics.

Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Multi-Modal Conditional Learning.

Song-Chun Zhu, Ying Nian Wu, Jianwen Xie, 2019 .

Discussion of "EQUI-energy sampler" by Kou, Zhou and Wong

Song-Chun Zhu, Song-Chun Zhu, Y. Wu, 2006 .

Analytic Study

Jinli Suo, R. A. Hicklin, Song-Chun Zhu, 2009, Encyclopedia of Biometrics.

An And-Or Graph Model for Face Representation, Sketching and Aging

Song-Chun Zhu, Feng Min, Jinli Suo, 2007 .