Song-Chun Zhu

发表

Minimax Entropy Principle and Its Application to Texture Modeling

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

Statistical and computational theories for image segmentation, texture modeling and object recognition

D. Mumford, Song-Chun Zhu, 1996 .

Image Parsing: Unifying Segmentation, Detection, and Recognition

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

Alternating Back-Propagation for Generator Network

Song-Chun Zhu, Y. Wu, Tian Han, 2016, AAAI.

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

Song-Chun Zhu, 1998 .

Image Parsing: Unifying Segmentation, Detection, and Recognition

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

How Do Heuristics Expedite Markov Chain Search? Hitting-time Analysis of the Independence Metropolis Sampler

Song-Chun Zhu, R. Maciuca, 2003 .

Primal Sketch: Integrating Texture and Structure

Song-Chun Zhu, Y. Wu, Cheng-en Guo, 2011 .

What are Textons?

Song-Chun Zhu, Cheng-en Guo, Yizhou Wang, 2005, International Journal of Computer Vision.

Image Parsing via Stochastic Scene Grammar

Song-Chun Zhu, Yibiao Zhao, 2011 .

Visual learning by integrating descriptive and generative methods

Song-Chun Zhu, Y. Wu, Cheng-en Guo, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

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.

A Compositional and Dynamic Model for Face Aging

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

A Multi-Resolution Dynamic Model for Face Aging Simulation

Song-Chun Zhu, S. Shan, Xilin Chen, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Learning inhomogeneous Gibbs model of faces by minimax entropy

Song-Chun Zhu, Ce Liu, H. Shum, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Parsing Images into Regions, Curves, and Curve Groups

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

Cluster Sampling and Its Applications in Image Analysis

Song-Chun Zhu, Adrian Barbu, 2004 .

First Hitting Time Analysis of the Independence Metropolis Sampler

Song-Chun Zhu, R. Maciuca, 2006 .

Deformable Template As Active Basis

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

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.

Primal sketch: Integrating structure and texture

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

Composite Templates for Cloth Modeling and Sketching

Hong Chen, Zi Jian Xu, Zi Qiang Liu, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

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..

I2T: Image Parsing to Text Description

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

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).

GRADE: Gibbs Reaction and Diffusion Equations

Song-Chun Zhu, 2004 .

Parsing video events with goal inference and intent prediction

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

Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation

Tai Sing Lee, Alan L. Yuille, Song Chun Zhu, 1995, Proceedings of IEEE International Conference on Computer Vision.

Prior Learning and Gibbs Reaction-Diffusion

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

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.

Generalizing Swendsen–Wang for Image Analysis

Song-Chun Zhu, Adrian Barbu, 2007, Journal of Computational and Graphical Statistics.

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

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

Embedding Gestalt Laws in Markov Random Fields

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

Learning Active Basis Model for Object Detection and Recognition

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

From Information Scaling of Natural Images to Regimes of Statistical Models

Song-Chun Zhu, Y. Wu, Cheng-en Guo, 2007 .

Graph partition by Swendsen-Wang cuts

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

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.

Learning mixed templates for object recognition

Song-Chun Zhu, Y. Wu, Zhangzhang Si, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Statistical Edge Detection: Learning and Evaluating Edge Cues

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

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).

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).

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 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.

FORMS: A flexible object recognition and modelling system

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

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.

What are Textons?

Song-Chun Zhu, Cheng-en Guo, Yizhou Wang, 2005 .

Image Parsing with Stochastic Scene Grammar

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

Parsing Images into Region and Curve Processes

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

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.

A Theory of Generative ConvNet pdf

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

Inducing wavelets into random fields via generative boosting

Song-Chun Zhu, Y. Wu, Yang Lu, 2016 .

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..

Artistic Papercut of Human Portraits : Rendering and Perceptual Studies

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

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).

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

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

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).

Modeling Occlusion by Discriminative AND-OR Structures

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

Image Segmentation by Data-Driven Markov Chain Monte Carlo

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

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).

Scene Parsing by Data Driven Cluster Sampling

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

Image segmentation by data driven Markov chain Monte Carlo

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

Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model

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

Integrating Function , Geometry , Appearance for Scene Parsing

Song-Chun Zhu, Yibiao Zhao, 2014 .

Scene Understanding by Reasoning Stability and Safety

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

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.

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

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

Grounded Semantic Role Labeling

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

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.

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.

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..

The Visual Object Tracking VOT2015 Challenge Results

Zhe, Jin, Philip H. S. Torr, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Cascaded Parsing of Human-Object Interaction Recognition

Song-Chun Zhu, Jianbing Shen, Wenguan Wang, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning

Yuke Zhu, Zhiding Yu, Song-Chun Zhu, 2022, International Conference on Learning Representations.

Learning Pose Grammar for Monocular 3 D Pose Estimation

Song-Chun Zhu, Xiaobai Liu, Jianbing Shen, 2019 .

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

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

A Part-Based, Multiresolution, TensorFaces Approach to Image-Based Facial Veriﬁcation

M. Alex O. Vasilescu, A. Yuille, Demetri Terzopoulos, 2016 .

Deep Hierarchical Human Semantic Parsing

Song-Chun Zhu, Jianbing Shen, Wenguan Wang, 2020 .

Learning V 1 cells with vector representations of local contents and matrix representations of local motions

Song-Chun Zhu, Y. Wu, Jianwen Xie, 2019 .

Hamiltonian and Langevin Monte Carlo

Song-Chun Zhu, Adrian Barbu, 2020 .

Learning Generic Prior Models For Visual Computation-Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference

Song-Chun Zhu, Song Chun, 2004 .

A Unified Middle-Level Representation for Video

Song-Chun Zhu, Zongben Xu, Zhi Han, 2013 .

Integrating Graph Partition and Matching with Editing

Song-Chun Zhu, Xiaobai Liu, Liang Lin, 2008 .

Gibbs Sampler and Its Variants

Song-Chun Zhu, Adrian Barbu, 2020 .

Title Primal Sketch : Integrating Texture and Structure Permalink

Song-Chun Zhu, Y. Wu, Cheng-en Guo, 2005 .

Title Stereo Visual Odometry with Windowed Bundle Adjustment Permalink

Song-Chun Zhu, D. Terzopoulos, Zhinan Xu, 2015 .

Zhinan Xu – MS Thesis

Demetri Terzopoulos, Song-Chun Zhu, Zhinan Xu, 2015 .

Painting with Interactive Control of Perceptual Entropy

Song-Chun Zhu, Mingtian Zhao, 2012 .

Graph-based Hierarchical Knowledge Representation for Robot Task Transfer from Virtual to Physical World

Song-Chun Zhu, Zhenliang Zhang, Yixin Zhu, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Probabilistic simulation predicts human judgments about substance dynamics

James R. Kubricht, Song-Chun Zhu, Hongjing Lu, 2019 .

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

Song-Chun Zhu, Siyuan Qi, Yuanlu Xu, 2018 .

Hierarchical Space Tiling (HST) for scene classification and attribute localization

Song-Chun Zhu, Yizhou Wang, Jungseock Joo, 2013 .

Hierarchical Organization by AndOr Tree

Song-Chun Zhu, Jungseock Joo, Shuo Wang, 2012 .

Learning Energy-based Model with Flow-based Backbone by Neural Transport MCMC pdf

Erik Nijkamp, Ying Nian Wu, Song-Chun Zhu, 2020, ArXiv.

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.

DISCUSSION OF “EQUI-ENERGY SAMPLER ” BY KOU,

Song-Chun Zhu, Y. Wu, 2006 .

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

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

Title Bayesian Reconstruction of 3 D Shapes and Scenes From A Single Image Permalink

Song-Chun Zhu, 2003 .

Interpretations of Cluster Sampling by Swendsen-Wang

Song-Chun Zhu, Adrian Barbu, 2013 .

mpetition: Unifying Snakes, egion Growin and Bayes/MDL for Image Segmentation

A. Yuille, Song-Chun Zhu, 1996 .

Structure v . s . Appearance and 3 D v . s . 2 D ? A Numeric Answer

Song-Chun Zhu, Zhangzhang Si, W. Hu, 2013 .

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

Song-Chun Zhu, 2006 .

Iterative Teacher-Aware Learning pdf

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

Title Multiscale Generative Model of Human Faces Permalink

Song-Chun Zhu, Zijian Xu, Hong Chen, 2004 .

A massively parallel and scalable multi-GPU material point method

Dinesh Manocha, Chenfanfu Jiang, Song-Chun Zhu, 2020, ACM Trans. Graph..

Title From Information Scaling of Natural Images to Regimes of Statistical Models Permalink

Song-Chun Zhu, Y. Wu, Cheng-en Guo, 2004 .

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).

THE ROLE OF VI IN SHAPE REPRESENTATION

D. Mumford, Song-Chun Zhu, V. Lamme, 2013 .

Monte Carlo Methods

Song-Chun Zhu, Adrian Barbu, Songmei Zhu, 2020 .

Alan Ulfers Litteneker – MS Thesis

Demetri Terzopoulos, Song-Chun Zhu, J. M. Teran, 2016 .

MPI: Evaluating and Inducing Personality in Pre-trained Language Models

Song-Chun Zhu, Chi Zhang, Yixin Zhu, 2022, ArXiv.

EBM Life Cycle: MCMC Strategies for Synthesis, Defense, and Density Modeling

Song-Chun Zhu, Mitch Hill, Mubarak Shah, 2022, ArXiv.

RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning

Song-Chun Zhu, Anima Anandkumar, Yuke Zhu, 2022, ICLR.

Latent Diffusion Energy-Based Model for Interpretable Text Modeling

Song-Chun Zhu, Y. Wu, Xiaojian Ma, 2022, ICML.

Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning

Song-Chun Zhu, Y. Wu, Chi Zhang, 2021, European Conference on Computer Vision.

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

Song-Chun Zhu, Zhou Yu, Xiaodan Liang, 2021, NeurIPS Datasets and Benchmarks.

CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization

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

Keynote Talk: Generative Hierarchical Models for Image Analysis

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

Towards Socially Intelligent Agents with Mental State Transition and Human Value

Song-Chun Zhu, Zhou Yu, Zhou Yu, 2021, SIGDIAL.

Prior Learning and Gibbs Reaction-Diffusion share how this access benefits you. Your story matters

Song-Chun Zhu, D. Mumford, 1997 .

Parsing: Unifying Segmentation, Detection, and Recognition

A. Yuille, Song-Chun Zhu, Xiangrong Chen, 2005 .

ValueNet: A New Dataset for Human Value Driven Dialogue System

Song-Chun Zhu, Jianfeng Gao, Baolin Peng, 2021, AAAI.

A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics

Song-Chun Zhu, Y. Wu, Yixin Zhu, 2021, 2103.01403.

MPI: Evaluating and Inducing Personality in Pre-trained Language Models

Song-Chun Zhu, Chi Zhang, Yixin Zhu, 2022, ArXiv.

Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning

Song-Chun Zhu, Y. Wu, Kai-Wei Chang, 2022, ArXiv.

EgoTaskQA: Understanding Human Tasks in Egocentric Videos

Song-Chun Zhu, Siyuan Huang, Baoxiong Jia, 2022, NeurIPS.

Towards Socially Intelligent Agents with Mental State Transition and Human Value

Song-Chun Zhu, Zhou Yu, Weiyan Shi, 2022, SIGDIAL.

SocAoG: Incremental Graph Parsing for Social Relation Inference in Dialogues

Song-Chun Zhu, Y. Wu, Zhou Yu, 2021, ACL.

Action Understanding

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

Amending Facial Expression Representation via De-albino

Song-Chun Zhu, Zhiwei Liang, Jiawei Shi, 2022, 2022 41st Chinese Control Conference (CCC).

SQA3D: Situated Question Answering in 3D Scenes

Song-Chun Zhu, Zilong Zheng, Xiaojian Ma, 2022, ArXiv.

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering

Song-Chun Zhu, Kai-Wei Chang, Oyvind Tafjord, 2022, NeurIPS.

Emergent Graphical Conventions in a Visual Communication Game

Song-Chun Zhu, Tao Gao, Yixin Zhu, 2021, 2111.14210.

COAT: Measuring Object Compositionality in Emergent Representations

Ari S. Morcos, Song-Chun Zhu, Ramakrishna Vedantam, 2022, ICML.

Learning Probabilistic Models from Generator Latent Spaces with Hat EBM

Song-Chun Zhu, Erik Nijkamp, Mitch Hill, 2022, ArXiv.

RulE: Neural-Symbolic Knowledge Graph Reasoning with Rule Embedding

Song-Chun Zhu, Muhan Zhang, Yitao Liang, 2022, ArXiv.

Shimura operators for certain Hermitian symmetric superpairs

Song-Chun Zhu, 2022, 2212.09249.

Perceptual Scaling

Song-Chun Zhu, Y. Wu, Cheng-en Guo, 2004 .

Image Parsing: Unifying Segmentation, Detection, and Recognition

A. Yuille, Song-Chun Zhu, Z. Tu, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Inferring Naval Tactical Context through Scene Understanding

D., Song-Chun Zhu, Michael Walton, 2016 .

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

Song-Chun Zhu, Y. Wu, 2006, math/0611222.

Learning Sparse FRAME Models for Natural Image Patterns

Song-Chun Zhu, Y. Wu, Jianwen Xie, 2014, International Journal of Computer Vision.

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 .

Simultaneous Localization and Mapping in a Hybrid Robot and Camera Network System

Song-Chun Zhu, Zhiwei Liang, Fang Fang, 2010, Journal of Intelligent & Robotic Systems.

Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion

Ruiqi Gao, Song-Chun Zhu, Y. Wu, 2019, AAAI.

Learning Latent Space Energy-Based Prior Model pdf

Tian Han, Erik Nijkamp, Ying Nian Wu, 2020, NeurIPS.

Representation Learning: A Statistical Perspective pdf

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

Inducing Hierarchical Compositional Model by Sparsifying Generator Network

Xianglei Xing, Ying Nian Wu, Song-Chun Zhu, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Cooperative Training of Descriptor and Generator Networks

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

Learning vector representation of local content and matrix representation of local motion, with implications for V1

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

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

Song-Chun Zhu, Y. Wu, Tianfu Wu, 2019, arXiv.org.

Learning Vector Representation of Content and Matrix Representation of Change: Towards a Representational Model of V1

Song-Chun Zhu, Y. Wu, Jianwen Xie, 2019, ArXiv.

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

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

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.

Sparse and deep generalizations of the FRAME model

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

Alternating Back-Propagation for Generator Network

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

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

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

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.

Modeling textured motion : particle, wave and sketch

Song-Chun Zhu, Yizhou Wang, Song-Chun Zhu, 2003, Proceedings Ninth 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..

What are Textons?

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

A Generative Method for Textured Motion: Analysis and Synthesis

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

Hierarchical Human Semantic Parsing With Comprehensive Part-Relation Modeling

Song-Chun Zhu, Jianbing Shen, Wenguan Wang, 2021, 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.

Intent-Aware Multi-Agent Reinforcement Learning

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

Statistical Principles in Image Modeling

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

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

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

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.

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.

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).

Integrating Function , Geometry , Appearance for Scene Parsing

Song-Chun Zhu, Yibiao Zhao, 2014 .

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.

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.

Unsupervised Structure Learning of Stochastic And-Or Grammars

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

Concurrent Action Detection with Structural Prediction

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

A Competence-aware Curriculum for Visual Concepts Learning via Question Answering

Song-Chun Zhu, Qing Li, Siyuan Huang, 2020, ECCV.

Mapping the Energy Landscape

Adrian Barbu, Song-Chun Zhu, Song-Chun Zhu, 2020 .

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..

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).

The role of V1 in shape representation

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

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.

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.

Visual interpretability for deep learning: a survey

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

Interpretable Convolutional Neural Networks

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

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).

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).

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).

Cluster Sampling Methods

Song-Chun Zhu, Adrian Barbu, 2020 .

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.

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.

An Automatic Portrait System Based on And-Or Graph Representation

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

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.

Joint Video and Text Parsing for Understanding Events and Answering Queries

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

Metropolis Methods and Variants

Adrian Barbu, Song-Chun Zhu, Song-Chun Zhu, 2020 .

Learning explicit and implicit visual manifolds by information projection

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

Emergent Graphical Conventions in a Visual Communication Game

Song-Chun Zhu, Tao Gao, Yixin Zhu, 2021, NeurIPS.

Human-Robot Interaction in a Shared Augmented Reality Workspace pdf

Song-Chun Zhu, Yixin Zhu, Hangxin Liu, 2020, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

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.

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

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

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).

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).

Learning Social Affordance for Human-Robot Interaction

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

Learning Interactive Affordance for Human-Robot Interaction

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

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.

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).

Abstract painting with interactive control of perceptual entropy

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

Sisley the abstract painter

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

Modeling images and textures by minimax entropy

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

Interpreting CNNs via Decision Trees

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

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.

Analysis and Synthesis of Textured Motion : Particle , Wave and Cartoon Sketch

Song-Chun Zhu, Yizhou Wang, 2003 .

Computer Vision: Statistical Models for Marr's Paradigm

Song-Chun Zhu, Y. Wu, 2023 .

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.

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

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

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).

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).

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.

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.

Learning Perceptual Inference by Contrasting

Yixin Zhu, Chi Zhang, Baoxiong Jia, 2019, NeurIPS.

On Path Integration of Grid Cells: Group Representation and Isotropic Scaling

Song-Chun Zhu, Y. Wu, Xue-Xin Wei, 2020, NeurIPS.

Unsupervised Foreground Extraction via Deep Region Competition pdf

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

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

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

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).

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.

Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning

Song-Chun Zhu, Y. Wu, Kai-Wei Chang, 2022, ICLR.

PartAfford: Part-level Affordance Discovery from 3D Objects

Song-Chun Zhu, He Wang, Yixin Zhu, 2022, ArXiv.

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

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

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).

Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification

Song-Chun Zhu, Y. Wu, Yifei Xu, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Structured Attention for Unsupervised Dialogue Structure Induction pdf

Weiyan Shi, Zhou Yu, Yizhou Zhao, 2020, EMNLP.

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

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

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).

A virtual reality platform for dynamic human-scene interaction

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

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

Song-Chun Zhu, Hongjing Lu, Tianmin Shu, 2021, IEEE Robotics and Automation Letters.

Interpreting CNN knowledge via an Explanatory Graph pdf

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

Generalized Inverse Planning: Learning Lifted non-Markovian Utility for Generalizable Task Representation pdf

Sirui Xie, Song-Chun Zhu, Feng Gao, 2020, ArXiv.

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning

Yaodong Yang, Song-Chun Zhu, Hao Dong, 2022, NeurIPS.

SQA3D: Situated Question Answering in 3D Scenes

Song-Chun Zhu, Zilong Zheng, Xiaojian Ma, 2022, ICLR.

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).

Human Causal Transfer: Challenges for Deep Reinforcement Learning

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

Learning Probabilistic Models from Generator Latent Spaces with Hat EBM

Song-Chun Zhu, Erik Nijkamp, Mitch Hill, 2022, NeurIPS.

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

Tian Han, Erik Nijkamp, Linqi Zhou, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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).

Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis

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

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

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

GRADE: Gibbs reaction and diffusion equations

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

Learning Multi-layer Latent Variable Model via Variational Optimization of Short Run MCMC for Approximate Inference

Erik Nijkamp, Linqi Zhou, Ying Nian Wu, 2019, ECCV.

Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning

Song-Chun Zhu, Y. Wu, Jianwen Xie, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models pdf

Song-Chun Zhu, Jonathan Mitchell, Mitch Hill, 2020, ICLR.

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

Song-Chun Zhu, Y. Wu, Erik Nijkamp, 2019, ArXiv.

Sparse Winograd Convolutional Neural Networks on Small-scale Systolic Arrays

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

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).

Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution

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

Monocular 3D Pose Estimation via Pose Grammar and Data Augmentation

Song-Chun Zhu, Xiaobai Liu, Wenguan Wang, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Supplementary Material for ACRE: Abstract Causal REasoning Beyond Covariation

Song-Chun Zhu, Mark Edmonds, Yixin Zhu, 2021 .

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

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

A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics

Song-Chun Zhu, Y. Wu, Yixin Zhu, 2021, ICLR.

Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning pdf

Qing Li, Ying Nian Wu, Song-Chun Zhu, 2020, ICML.

Data Driven Markov Chain Monte Carlo

Adrian Barbu, Song-Chun Zhu, Song-Chun Zhu, 2020 .

Inferring Context Through Scene Understanding

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

Learning Perceptual Causality from Video

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

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 .

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.

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 .

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.

From image parsing to painterly rendering

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

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

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

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

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

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

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

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

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

Background modeling by subspace learning on spatio-temporal patches

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

A vanishing theorem for the canonical blow-ups of Grassmann manifolds

Songhao Zhu, HAnlong Fang, Song-Chun Zhu, 2021, Complex Manifolds.

Learning to Amend Facial Expression Representation via De-albino and Affinity

Song-Chun Zhu, Jiawei Shi, 2021, ArXiv.

Learning Energy-Based Models as Generative ConvNets via Multi-grid Modeling and Sampling.

Ying Nian Wu, Song-Chun Zhu, Yang Lu, 2020 .

CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines

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

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.

Words Aren’t Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions

Yaser Al-Onaizan, Song-Chun Zhu, Siva Reddy, 2020, ACL.

Recognizing Unseen Attribute-Object Pair with Generative Model

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

PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points

Yixin Zhu, Yixin Chen, Siyuan Huang, 2019, NeurIPS.

A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction

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

A framework for shape representation and recognition

Alan L. Yuille, Song-Chun Zhu, A. Yuille, 1994, Proceedings of 1st International Conference on Image Processing.

Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning

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

Multi-Shot Mining Semantic Part Concepts in CNNs pdf

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

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).

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

Song-Chun Zhu, Y. Wu, Kai-Wei Chang, 2023, ArXiv.

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).

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

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

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.

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).

YouRefIt: Embodied Reference Understanding with Language and Gesture pdf

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

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.

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).

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

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

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

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

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.

Cross-View Action Modeling, Learning, and Recognition

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

LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities pdf

Yixin Zhu, Baoxiong Jia, Yixin Chen, 2020, ECCV.

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..

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.

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..

CO3 for ultra-fast and accurate interactive segmentation

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

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.

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

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

Learning Human-Object Interactions by Graph Parsing Neural Networks pdf

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

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.

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.

Triangular Character Animation Sampling with Motion, Emotion, and Relation

Song-Chun Zhu, Liang Qiu, Pan Lu, 2022, ArXiv.

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).

Interpretable CNNs for Object Classification

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

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.

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.

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.

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.

Learning by Fixing: Solving Math Word Problems with Weak Supervision

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

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

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

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).

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

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

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

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

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.

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

Song-Chun Zhu, Yixin Zhu, Zeyu Liu, 2021, IEEE Robotics and Automation Letters.

Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations

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

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 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).

Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions

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

VRGym: a virtual testbed for physical and interactive AI

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

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).

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).

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

Demetri Terzopoulos, Song-Chun Zhu, Siyuan Qi, 2017, International Journal of 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.

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.

VRKitchen2.0-IndoorKit: A Tutorial for Augmented Indoor Scene Building in Omniverse

Song-Chun Zhu, Xiaofeng Gao, Yizhou Zhao, 2022, ArXiv.

Robust Visual Reasoning via Language Guided Neural Module Networks

Song-Chun Zhu, V. Jampani, Soravit Changpinyo, 2021, NeurIPS.

Examining CNN representations with respect to Dataset Bias

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

Cluster sampling and its applications to segmentation, stereo and motion

Song-Chun Zhu, Adrian Barbu, 2005 .

Intrackability: Characterizing Video Statistics and Pursuing Video Representations

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

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

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

Emergence of Pragmatics from Referential Game between Theory of Mind Agents

Song-Chun Zhu, Zipeng Fu, Luyao Yuan, 2020, ArXiv.

Scene-Centric Joint Parsing of Cross-View Videos

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

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

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

A unified psychological space for human perception of physical and social events

Song-Chun Zhu, Hongjing Lu, Tianmin Shu, 2021, Cognitive Psychology.

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..

Learning Deep Generative Models with Short Run Inference Dynamics

Song-Chun Zhu, Y. Wu, Tian Han, 2019, arXiv.org.

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).

Equivalence of Julesz Ensembles and FRAME Models

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

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.

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.

Learning to infer human attention in daily activities

Nanning Zheng, Song-Chun Zhu, Tianmin Shu, 2020, Pattern Recognit..

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.

A Hierarchical and Contextual Model for Aerial Image Parsing

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

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

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

Monte Carlo Tree Search for Scheduling Activity Recognition

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

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

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

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 .

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.

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.

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

Song-Chun Zhu, Y. Wu, Kai-Wei Chang, 2023, ArXiv.

R EL V I T: C ONCEPT - GUIDED V ISION T RANSFORMER FOR V ISUAL R ELATIONAL R EASONING

Song-Chun Zhu, Anima Anandkumar, Yuke Zhu, 2022 .

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.

Inferring Human Attention by Learning Latent Intentions

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

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).

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.

Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem

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

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

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

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

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

Portrait painting using active templates

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

Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration

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

A Representational Model of Grid Cells Based on Matrix Lie Algebras pdf

Ying Nian Wu, Song-Chun Zhu, Ruiqi Gao, 2020, ArXiv.

A Representational Model of Grid Cells' Path Integration Based on Matrix Lie Algebras

Ying Nian Wu, Song-Chun Zhu, Ruiqi Gao, 2020 .

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 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.

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

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

Title From Information Scaling of Natural Images to Regimes of Statistical Models Permalink

Song-Chun Zhu, Y. Wu, Cheng-en Guo, 2004 .

Deeper Interpretability of Deep Networks pdf

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

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.

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

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

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.

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 .

Brain in a Vat: On Missing Pieces Towards Artificial General Intelligence in Large Language Models

Song-Chun Zhu, Yuxi Ma, Chi Zhang, 2023, ArXiv.

Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners

Song-Chun Zhu, Song-Chun Zhu, Zilong Zheng, 2023, ArXiv.

Dynamic Pattern Synthesis by Spatial-Temporal Generative ConvNet

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

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

Song-Chun Zhu, Siyuan Qi, Yixin Zhu, 2018, ECCV.

Non-Parametric Quantum Theory Based Image Retrieval

Song-Chun Zhu, Zhiwei Liang, Baoyun Wang, 2013, National Academy Science Letters.

Learning FRAME Models Using CNN Filters

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

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

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

SMART: A Situation Model for Algebra Story Problems via Attributed Grammar pdf

Song-Chun Zhu, Siyuan Huang, Qing Li, 2020, AAAI.

Perceptual Scale-Space and Its application

Song-Chun Zhu, Yizhou Wang, Siavosh Bahrami, 2011 .

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).

Analytic Study

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

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

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

MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC

Song-Chun Zhu, Y. Wu, Erik Nijkamp, 2020, ICLR.

Single-Image 3D Scene Parsing Using Geometric Commonsense

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

Learning Artistic Lighting Template from Portrait Photographs

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

Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis

Song-Chun Zhu, Y. Wu, Ruiqi Gao, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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.

Learning Active Basis Models by EM-Type Algorithms

Song-Chun Zhu, Y. Wu, Zhangzhang Si, 2010, 1104.2123.

Active Basis for Modeling, Learning and Recognizing Deformable Templates

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

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).

VersaGNN: a Versatile accelerator for Graph neural networks pdf

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

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

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

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

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

Recognizing Car Fluents from Video

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

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

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

YOUREFIT: EMBODIED REFERENCE UNDERSTAND-

Yik Lun Kei, Song-Chun Zhu, Yixin Zhu, 2021 .

Critical Features of Joint Actions that Signal Human Interaction

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

SQA3D: Situated Question Answering in 3D Scenes

Song-Chun Zhu, Zilong Zheng, Xiaojian Ma, 2022, International Conference on Learning Representations.

Image Retrieval Based on Relevance-Quality Ranking

Song-Chun Zhu, Zhiwei Liang, Juanjuan Hu, 2013, National Academy Science Letters.

CERN: Confidence-Energy Recurrent Network for Group Activity Recognition

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

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).

Bayesian Inference for Layer Representation with Mixed Markov Random Field

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

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).

STAR: Sparse Transformer-based Action Recognition pdf

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

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

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

Attention cannot be an Explanation

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

An approach to improve SSD through mask prediction of multi-scale feature maps

Peng Sun, Songhao Zhu, Yaqin Zhao, 2021, Pattern Analysis and Applications.

Representing physical and social events within a unified psychological space

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

Inferring Human Interaction from Motion Trajectories in Aerial Videos

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

Dynamic Feature Cascade for Multiple Object Tracking with Trackability Analysis

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

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.

Predicting Human Activities Using Stochastic Grammar

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

Learning and parsing video events with goal and intent prediction

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

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.

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.

Learning reconfigurable scene representation by tangram model

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

A Reconfigurable Tangram Model for Scene Representation and Categorization

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

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.

Emergence of Theory of Mind Collaboration in Multiagent Systems pdf

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

Notice of Violation of IEEE Publication PrinciplesCoordinating eye-hand action via partially-observable Markov decision processes

Song-Chun Zhu, Zhu Songhao, Liang Zhiwei, 2012, Proceedings of the 31st Chinese Control Conference.

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.

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.

What Are Textons

Song-Chun Zhu, Y. Wu, Cheng-en Guo, 2002, European Conference on Computer Vision.

Asymptotically Admissible Texture Synthesis

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

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).

Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks pdf

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

A Unified Framework for Human-Robot Knowledge Transfer

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

Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics

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

Open-Set Domain Adaptation Classification Via Adversarial Learning

Song-Chun Zhu, Zhiwei Liang, Yunbin Zhao, 2022, 2022 41st Chinese Control Conference (CCC).

Intention-based Behavioral Anomaly Detection

Song-Chun Zhu, Xu Xie, Siyuan Qi, 2022 .

Learning non-Markovian Decision-Making from State-only Sequences

Song-Chun Zhu, Feng Gao, Sirui Xie, 2023, ArXiv.

Mapping Energy Landscapes of Non-Convex Learning Problems pdf

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

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).

Learning FRAME Models Using CNN Filters for Knowledge Visualization pdf

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

Learning Energy-Based 3D Descriptor Networks for Volumetric Shape Synthesis and Analysis

Song-Chun Zhu, Y. Wu, Wenguan Wang, 2019 .

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

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

Learning Sparse FRAME Models for Natural Image Patterns

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

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.

What Is Where: Inferring Containment Relations from Videos

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

Interpreting CNN knowledge via an Explanatory Graph

Song-Chun Zhu, Y. Wu, Quanshi Zhang, 2017, AAAI.

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.

Sequential Decision Learning Models with Balloon Analogy Risk Task

Song-Chun Zhu, Hongjing Lu, Yingnian Wu, 2009 .

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

Song-Chun Zhu, Yang Lu, Tianfu Wu, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion

Song-Chun Zhu, Y. Wu, Jianwen Xie, 2019, AAAI.

MindAgent: Emergent Gaming Interaction

Demetri Terzopoulos, Song-Chun Zhu, Zilong Zheng, 2023, ArXiv.

Short range correlation transformer for occluded person re-identification pdf

Yunbin Zhao, Songhao Zhu, Dongsheng Wang, 2022, Neural Computing and Applications.

Unsupervised Learning of Neural Networks to Explain Neural Networks pdf

Quanshi Zhang, Yu Yang, Ying Nian Wu, 2018, ArXiv.

Unsupervised Foreground Extraction via Deep Region Competition

Song-Chun Zhu, Y. Wu, Xiaojian Ma, 2021, NeurIPS.

Artistic paper-cut of human portraits

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

Latent Diffusion Energy-Based Model for Interpretable Text Modeling

Song-Chun Zhu, Y. Wu, Xiaojian Ma, 2022, ICML.

Interactive Robot Knowledge Patching Using Augmented Reality

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

Cosegmentation and Cosketch by Unsupervised Learning

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

PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points

Song-Chun Zhu, Siyuan Qi, Yixin Zhu, 2019, NeurIPS.

Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics

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

Image Parsing: Segmentation, Detection, and Recognition

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

Networks for 3 D Shape Synthesis and Analysis

Song-Chun Zhu, Y. Wu, Wenguan Wang, 2018 .

Customizing painterly rendering styles using stroke processes

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

Statistical Modeling of Texture Sketch

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

What are Textons?

Song-Chun Zhu, Y. Wu, Cheng-en Guo, 2002, International Journal of Computer Vision.

Explanatory Graphs for CNNs pdf

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

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

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

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

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

Shimura operators for certain Hermitian symmetric superpairs

Song-Chun Zhu, 2022, 2212.09249.

Multimodal Conditional Learning with Fast Thinking Policy-like Model and Slow Thinking Planner-like Model

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

Attention-calibration based double-branch cross-domain person re-identification

Song-Chun Zhu, Kangkang Ji, Pan Huang, 2022, Knowledge-Based Systems.

MindDial: Belief Dynamics Tracking with Theory-of-Mind Modeling for Situated Neural Dialogue Generation

Song-Chun Zhu, Zilong Zheng, Shuwen Qiu, 2023, ArXiv.

Parsing Images into Region and Curve Processes

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

Image Segmentation by Data-driven Markov Chain Monte Carlo

Song-Chun Zhu, Z. Tu, H. Shum, 2002 .

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

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

MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control

Yaodong Yang, Song-Chun Zhu, Fangwei Zhong, 2022, NeurIPS.

Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks

Xiaofeng Gao, Yizhou Zhao, Song-Chun Zhu, 2020, 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN).

Inducing Hierarchical Compositional Model by Sparsifying Generator Network

Song-Chun Zhu, Y. Wu, Tianfu Wu, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model

Song-Chun Zhu, Y. Wu, Erik Nijkamp, 2019, NeurIPS.

Learning Dynamic Generator Model by Alternating Back-Propagation Through Time

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

Learning Multi-grid Generative ConvNets by Minimal Contrastive Divergence pdf

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

Towards Socially Intelligent Agents with Mental State Transition and Human Utility

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

Human Attribute Recognition by Rich Appearance Dictionary

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

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.

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

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

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

Song-Chun Zhu, Y. Wu, Yixin Zhu, 2021, ArXiv.

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.

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).

Erratum to: Artistic Rendering of Portraits

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

Joint Video and Text Parsing for Understanding Events and Answering Queries

Song-Chun Zhu, M. Lee, Meng Meng, 2013, IEEE MultiMedia.

Hierarchical Space Tiling for Scene Modeling

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

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

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

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

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

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.

Unsupervised learning of compositional sparse code for natural image representation

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

A Part-Based, Multiresolution, TensorFaces Approach to Image-Based Facial Veriﬁcation

M. Alex O. Vasilescu, A. Yuille, Demetri Terzopoulos, 2016 .

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

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

Evaluating Human Cognition of Containing Relations with Physical Simulation

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