AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making. [Link]

Yizhe Huang,Xingbo Wang,Hao Liu,Fanqi Kong,Aoyang Qin,Min Tang 0001,Xiaoxi Wang,Song-Chun Zhu,Mingjie Bi,Siyuan Qi,Xue Feng

Annual Conference on Neural Information Processing Systems,2024

Ag2Manip: Learning Novel Manipulation Skills with Agent-Agnostic Visual and Action Representations. [Link]

Puhao Li,Tengyu Liu,Yuyang Li,Muzhi Han,Haoran Geng,Shu Wang,Yixin Zhu 0001,Song-Chun Zhu,Siyuan Huang 0001

IEEERSJ International Conference on Intelligent Robots and Systems,2024

An Embodied Generalist Agent in 3D World. [Link]

Jiangyong Huang,Silong Yong,Xiaojian Ma,Xiongkun Linghu,Puhao Li,Yan Wang,Qing Li 0003,Song-Chun Zhu,Baoxiong Jia,Siyuan Huang 0001

International Conference on Machine Learning,2024

Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World. [Link]

Rujie Wu,Xiaojian Ma,Zhenliang Zhang 0002,Wei Wang 0115,Qing Li 0003,Song-Chun Zhu,Yizhou Wang 0001

International Conference on Learning Representations,2024

CLOVA: A Closed-LOop Visual Assistant with Tool Usage and Update. [Link]

Zhi Gao,Yuntao Du 0005,Xintong Zhang,Xiaojian Ma,Wenjuan Han,Song-Chun Zhu,Qing Li 0003

IEEE Conference on Computer Vision and Pattern Recognition,2024

CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents. [Link]

Siyuan Qi,Shuo Chen,Yexin Li,Xiangyu Kong,Junqi Wang,Bangcheng Yang,Pring Wong,Yifan Zhong,Xiaoyuan Zhang,Zhaowei Zhang,Nian Liu,Yaodong Yang 0001,Song-Chun Zhu

International Conference on Learning Representations,2024

Efficient Adaptation in Mixed-Motive Environments via Hierarchical Opponent Modeling and Planning. [Link]

Yizhe Huang,Anji Liu,Fanqi Kong,Yaodong Yang 0001,Song-Chun Zhu,Xue Feng

International Conference on Machine Learning,2024

FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models. [Link]

Pengxiang Li 0002,Zhi Gao,Bofei Zhang,Tao Yuan,Yuwei Wu 0001,Mehrtash Harandi,Yunde Jia,Song-Chun Zhu,Qing Li 0003

Annual Conference on Neural Information Processing Systems,2024

Fast Peer Adaptation with Context-aware Exploration. [Link]

Long Ma,Yuanfei Wang,Fangwei Zhong,Song-Chun Zhu,Yizhou Wang 0001

International Conference on Machine Learning,2024

INTERPRET: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning. [Link]

Muzhi Han,Yifeng Zhu,Song-Chun Zhu,Ying Nian Wu,Yuke Zhu

Robotics: Science and Systems Conference,2024

LLM3: Large Language Model-based Task and Motion Planning with Motion Failure Reasoning. [Link]

Shu Wang 0002,Muzhi Han,Ziyuan Jiao,Zeyu Zhang 0001,Ying Nian Wu,Song-Chun Zhu,Hangxin Liu

IEEERSJ International Conference on Intelligent Robots and Systems,2024

Learning to Balance Altruism and Self-interest Based on Empathy in Mixed-Motive Games. [Link]

Fanqi Kong,Yizhe Huang,Song-Chun Zhu,Siyuan Qi,Xue Feng

Annual Conference on Neural Information Processing Systems,2024

Mars: Situated Inductive Reasoning in an Open-World Environment. [Link]

Xiaojuan Tang,Jiaqi Li,Yitao Liang,Song-Chun Zhu,Muhan Zhang,Zilong Zheng

Annual Conference on Neural Information Processing Systems,2024

Neural-Symbolic Recursive Machine for Systematic Generalization. [Link]

Qing Li 0003,Yixin Zhu 0001,Yitao Liang,Ying Nian Wu,Song-Chun Zhu,Siyuan Huang 0001

International Conference on Learning Representations,2024

On the Emergence of Symmetrical Reality. [Link]

Zhenliang Zhang 0002,Zeyu Zhang 0001,Ziyuan Jiao,Yao Su 0001,Hangxin Liu,Wei Wang,Song-Chun Zhu

IEEE Virtual Reality conference,2024

PhyRecon: Physically Plausible Neural Scene Reconstruction. [Link]

Junfeng Ni,Yixin Chen 0003,Bohan Jing,Nan Jiang,Bin Wang,Bo Dai 0025,Puhao Li,Yixin Zhu 0001,Song-Chun Zhu,Siyuan Huang 0001

Annual Conference on Neural Information Processing Systems,2024

ProAgent: Building Proactive Cooperative Agents with Large Language Models. [Link]

Ceyao Zhang,Kaijie Yang,Siyi Hu,Zihao Wang,Guanghe Li,Yihang Sun,Cheng Zhang,Zhaowei Zhang,Anji Liu,Song-Chun Zhu,Xiaojun Chang,Junge Zhang,Feng Yin,Yitao Liang,Yaodong Yang 0001

AAAI Conference on Artificial Intelligence,2024

A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics. [Link]

Qing Li 0003,Siyuan Huang,Yining Hong,Yixin Zhu,Ying Nian Wu,Song-Chun Zhu

International Conference on Learning Representations,2023

ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes. [Link]

Ran Gong,Jiangyong Huang,Yizhou Zhao,Haoran Geng,Xiaofeng Gao 0002,Qingyang Wu,Wensi Ai,Ziheng Zhou,Demetri Terzopoulos,Song-Chun Zhu,Baoxiong Jia,Siyuan Huang

International Conference on Computer Vision,2023

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. [Link]

Pan Lu,Baolin Peng,Hao Cheng,Michel Galley,Kai-Wei Chang,Ying Nian Wu,Song-Chun Zhu,Jianfeng Gao

Annual Conference on Neural Information Processing Systems,2023

Diffusion-based Generation, Optimization, and Planning in 3D Scenes. [Link]

Siyuan Huang,Zan Wang,Puhao Li,Baoxiong Jia,Tengyu Liu,Yixin Zhu,Wei Liang,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2023

Diplomat: A Dialogue Dataset for Situated PragMATic Reasoning. [Link]

Hengli Li,Song-Chun Zhu,Zilong Zheng

Annual Conference on Neural Information Processing Systems,2023

Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. [Link]

Pan Lu,Liang Qiu 0001,Kai-Wei Chang,Ying Nian Wu,Song-Chun Zhu,Tanmay Rajpurohit,Peter Clark,Ashwin Kalyan

International Conference on Learning Representations,2023

Evaluating and Inducing Personality in Pre-trained Language Models. [Link]

Guangyuan Jiang,Manjie Xu,Song-Chun Zhu,Wenjuan Han,Chi Zhang,Yixin Zhu 0001

Annual Conference on Neural Information Processing Systems,2023

Guest Editorial: Introduction to the Special Section on Graphs in Vision and Pattern Analysis. [Link]

Song Bai,Philip H. S. Torr,Ranjay Krishna,Li Fei-Fei 0001,Abhinav Gupta 0001,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2023

Learning Energy-Based Prior Model with Diffusion-Amortized MCMC. [Link]

Peiyu Yu,Yaxuan Zhu,Sirui Xie,Xiaojian Ma,Ruiqi Gao,Song-Chun Zhu,Ying Nian Wu

Annual Conference on Neural Information Processing Systems,2023

Learning a Causal Transition Model for Object Cutting. [Link]

Zeyu Zhang 0001,Muzhi Han,Baoxiong Jia,Ziyuan Jiao,Yixin Zhu 0001,Song-Chun Zhu,Hangxin Liu

IEEERSJ International Conference on Intelligent Robots and Systems,2023

Learning non-Markovian Decision-Making from State-only Sequences. [Link]

Aoyang Qin,Feng Gao,Qing Li,Song-Chun Zhu,Sirui Xie

Annual Conference on Neural Information Processing Systems,2023

On the Complexity of Bayesian Generalization. [Link]

Yu-Zhe Shi,Manjie Xu,John E. Hopcroft,Kun He 0001,Joshua B. Tenenbaum,Song-Chun Zhu,Ying Nian Wu,Wenjuan Han,Yixin Zhu

International Conference on Machine Learning,2023

Part-level Scene Reconstruction Affords Robot Interaction. [Link]

Zeyu Zhang 0001,Lexing Zhang,Zaijin Wang,Ziyuan Jiao,Muzhi Han,Yixin Zhu 0001,Song-Chun Zhu,Hangxin Liu

IEEERSJ International Conference on Intelligent Robots and Systems,2023

Rearrange Indoor Scenes for Human-Robot Co-Activity. [Link]

Weiqi Wang,Zihang Zhao,Ziyuan Jiao,Yixin Zhu,Song-Chun Zhu,Hangxin Liu

IEEE International Conference on Robotics and Automation,2023

SQA3D: Situated Question Answering in 3D Scenes. [Link]

Xiaojian Ma,Silong Yong,Zilong Zheng,Qing Li 0003,Yitao Liang,Song-Chun Zhu,Siyuan Huang

International Conference on Learning Representations,2023

X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events. [Link]

Bo Dai 0025,Linge Wang,Baoxiong Jia,Zeyu Zhang 0001,Song-Chun Zhu,Chi Zhang 0017,Yixin Zhu 0001

International Conference on Computer Vision,2023

COAT: Measuring Object Compositionality in Emergent Representations. [Link]

Sirui Xie,Ari S. Morcos,Song-Chun Zhu,Ramakrishna Vedantam

International Conference on Machine Learning,2022

Cascaded Parsing of Human-Object Interaction Recognition. [Link]

Tianfei Zhou,Siyuan Qi,Wenguan Wang,Jianbing Shen,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2022

Cooperative Training of Fast Thinking Initializer and Slow Thinking Solver for Conditional Learning. [Link]

Jianwen Xie,Zilong Zheng,Xiaolin Fang 0002,Song-Chun Zhu,Ying Nian Wu

Trans on Pattern Analysis and Machine Intelligence,2022

Deformable Generator Networks: Unsupervised Disentanglement of Appearance and Geometry. [Link]

Xianglei Xing,Ruiqi Gao,Tian Han 0001,Song-Chun Zhu,Ying Nian Wu

Trans on Pattern Analysis and Machine Intelligence,2022

EgoTaskQA: Understanding Human Tasks in Egocentric Videos. [Link]

Baoxiong Jia,Ting Lei,Song-Chun Zhu,Siyuan Huang

Annual Conference on Neural Information Processing Systems,2022

Emergent Graphical Conventions in a Visual Communication Game. [Link]

Shuwen Qiu,Sirui Xie,Lifeng Fan,Tao Gao,Jungseock Joo,Song-Chun Zhu,Yixin Zhu

Annual Conference on Neural Information Processing Systems,2022

Generative VoxelNet: Learning Energy-Based Models for 3D Shape Synthesis and Analysis. [Link]

Jianwen Xie,Zilong Zheng,Ruiqi Gao,Wenguan Wang,Song-Chun Zhu,Ying Nian Wu

Trans on Pattern Analysis and Machine Intelligence,2022

Hierarchical Human Semantic Parsing With Comprehensive Part-Relation Modeling. [Link]

Wenguan Wang,Tianfei Zhou,Siyuan Qi,Jianbing Shen,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2022

In situ bidirectional human-robot value alignment. [Link]

Luyao Yuan,Xiaofeng Gao 0002,Zilong Zheng,Mark Edmonds,Ying Nian Wu,Federico Rossano,Hongjing Lu,Yixin Zhu,Song-Chun Zhu

Science Robotics,2022

Latent Diffusion Energy-Based Model for Interpretable Text Modelling. [Link]

Peiyu Yu,Sirui Xie,Xiaojian Ma,Baoxiong Jia,Bo Pang,Ruiqi Gao,Yixin Zhu,Song-Chun Zhu,Ying Nian Wu

International Conference on Machine Learning,2022

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. [Link]

Pan Lu,Swaroop Mishra,Tanglin Xia,Liang Qiu 0001,Kai-Wei Chang,Song-Chun Zhu,Oyvind Tafjord,Peter Clark,Ashwin Kalyan

Annual Conference on Neural Information Processing Systems,2022

Learning Probabilistic Models from Generator Latent Spaces with Hat EBM. [Link]

Mitch Hill,Erik Nijkamp,Jonathan Mitchell,Bo Pang,Song-Chun Zhu

Annual Conference on Neural Information Processing Systems,2022

Learning V1 Simple Cells with Vector Representation of Local Content and Matrix Representation of Local Motion. [Link]

Ruiqi Gao,Jianwen Xie,Siyuan Huang,Yufan Ren,Song-Chun Zhu,Ying Nian Wu

AAAI Conference on Artificial Intelligence,2022

Learning from the Tangram to Solve Mini Visual Tasks. [Link]

Yizhou Zhao,Liang Qiu 0001,Pan Lu,Feng Shi,Tian Han 0001,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2022

MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control. [Link]

Xuehai Pan,Mickel Liu,Fangwei Zhong,Yaodong Yang 0001,Song-Chun Zhu,Yizhou Wang 0001

Annual Conference on Neural Information Processing Systems,2022

MCMC Should Mix: Learning Energy-Based Model with Neural Transport Latent Space MCMC. [Link]

Erik Nijkamp,Ruiqi Gao,Pavel Sountsov,Srinivas Vasudevan,Bo Pang,Song-Chun Zhu,Ying Nian Wu

International Conference on Learning Representations,2022

Monocular 3D Pose Estimation via Pose Grammar and Data Augmentation. [Link]

Yuanlu Xu,Wenguan Wang,Tengyu Liu,Xiaobai Liu,Jianwen Xie,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2022

RelViT: Concept-guided Vision Transformer for Visual Relational Reasoning. [Link]

Xiaojian Ma,Weili Nie,Zhiding Yu,Huaizu Jiang,Chaowei Xiao,Yuke Zhu,Song-Chun Zhu,Anima Anandkumar

International Conference on Learning Representations,2022

Scene Reconstruction with Functional Objects for Robot Autonomy. [Link]

Muzhi Han,Zeyu Zhang 0001,Ziyuan Jiao,Xu Xie 0001,Yixin Zhu,Song-Chun Zhu,Hangxin Liu

International Journal of Computer Vision,2022

Sequential Manipulation Planning on Scene Graph. [Link]

Ziyuan Jiao,Yida Niu,Zeyu Zhang 0001,Song-Chun Zhu,Yixin Zhu,Hangxin Liu

IEEERSJ International Conference on Intelligent Robots and Systems,2022

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

Xiaofeng Gao 0002,Luyao Yuan,Tianmin Shu,Hongjing Lu,Song-Chun Zhu

IEEE Robotics and Automation Letters,2022

Synthesizing Diverse and Physically Stable Grasps With Arbitrary Hand Structures Using Differentiable Force Closure Estimator. [Link]

Tengyu Liu,Zeyu Liu,Ziyuan Jiao,Yixin Zhu,Song-Chun Zhu

IEEE Robotics and Automation Letters,2022

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning. [Link]

Yuanpei Chen,Tianhao Wu,Shengjie Wang,Xidong Feng,Jiechuan Jiang,Zongqing Lu,Stephen McAleer,Hao Dong 0003,Song-Chun Zhu,Yaodong Yang 0001

Annual Conference on Neural Information Processing Systems,2022

Understanding Physical Effects for Effective Tool-Use. [Link]

Zeyu Zhang 0001,Ziyuan Jiao,Weiqi Wang,Yixin Zhu,Song-Chun Zhu,Hangxin Liu

IEEE Robotics and Automation Letters,2022

ValueNet: A New Dataset for Human Value Driven Dialogue System. [Link]

Liang Qiu 0001,Yizhou Zhao,Jinchao Li,Pan Lu,Baolin Peng,Jianfeng Gao,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2022

A Generalized Earley Parser for Human Activity Parsing and Prediction. [Link]

Siyuan Qi,Baoxiong Jia,Siyuan Huang,Ping Wei 0001,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2021

ACRE: Abstract Causal REasoning Beyond Covariation. [Link]

Chi Zhang 0017,Baoxiong Jia,Mark Edmonds,Song-Chun Zhu,Yixin Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2021

Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution. [Link]

Chi Zhang 0017,Baoxiong Jia,Song-Chun Zhu,Yixin Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2021

Congestion-aware Multi-agent Trajectory Prediction for Collision Avoidance. [Link]

Xu Xie 0001,Chi Zhang 0017,Yixin Zhu,Ying Nian Wu,Song-Chun Zhu

IEEE International Conference on Robotics and Automation,2021

Consolidating Kinematic Models to Promote Coordinated Mobile Manipulations. [Link]

Ziyuan Jiao,Zeyu Zhang 0001,Xin Jiang,David Han,Song-Chun Zhu,Yixin Zhu,Hangxin Liu

IEEERSJ International Conference on Intelligent Robots and Systems,2021

CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization. [Link]

Arjun R. Akula,Soravit Changpinyo,Boqing Gong,Piyush Sharma,Song-Chun Zhu,Radu Soricut

Conference on Empirical Methods in Natural Language Processing,2021

Efficient Task Planning for Mobile Manipulation: a Virtual Kinematic Chain Perspective. [Link]

Ziyuan Jiao,Zeyu Zhang 0001,Weiqi Wang,David Han,Song-Chun Zhu,Yixin Zhu,Hangxin Liu

IEEERSJ International Conference on Intelligent Robots and Systems,2021

Extraction of an Explanatory Graph to Interpret a CNN. [Link]

Quanshi Zhang,Xin Wang 0108,Ruiming Cao,Ying Nian Wu,Feng Shi,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2021

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

Jianwen Xie,Yifei Xu,Zilong Zheng,Song-Chun Zhu,Ying Nian Wu

IEEE Conference on Computer Vision and Pattern Recognition,2021

Interpretable CNNs for Object Classification. [Link]

Quanshi Zhang,Xin Wang 0108,Ying Nian Wu,Huilin Zhou,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2021

Iterative Teacher-Aware Learning. [Link]

Luyao Yuan,Dongruo Zhou,Junhong Shen,Jingdong Gao,Jeffrey L. Chen,Quanquan Gu,Ying Nian Wu,Song-Chun Zhu

Annual Conference on Neural Information Processing Systems,2021

Learning Cycle-Consistent Cooperative Networks via Alternating MCMC Teaching for Unsupervised Cross-Domain Translation. [Link]

Jianwen Xie,Zilong Zheng,Xiaolin Fang 0002,Song-Chun Zhu,Ying Nian Wu

AAAI Conference on Artificial Intelligence,2021

Learning Energy-Based Spatial-Temporal Generative ConvNets for Dynamic Patterns. [Link]

Jianwen Xie,Song-Chun Zhu,Ying Nian Wu

Trans on Pattern Analysis and Machine Intelligence,2021

Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. [Link]

Yaxuan Zhu,Ruiqi Gao,Siyuan Huang,Song-Chun Zhu,Ying Nian Wu

IEEE Conference on Computer Vision and Pattern Recognition,2021

Learning Triadic Belief Dynamics in Nonverbal Communication From Videos. [Link]

Lifeng Fan,Shuwen Qiu,Zilong Zheng,Tao Gao,Song-Chun Zhu,Yixin Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2021

Learning by Fixing: Solving Math Word Problems with Weak Supervision. [Link]

Yining Hong,Qing Li 0003,Daniel Ciao,Siyuan Huang,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2021

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

Arjun R. Akula,Spandana Gella,Keze Wang,Song-Chun Zhu,Siva Reddy

Conference on Empirical Methods in Natural Language Processing,2021

Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering. [Link]

Quanshi Zhang,Jie Ren 0018,Ge Huang,Ruiming Cao,Ying Nian Wu,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2021

On Path Integration of Grid Cells: Group Representation and Isotropic Scaling. [Link]

Ruiqi Gao,Jianwen Xie,Xue-Xin Wei,Song-Chun Zhu,Ying Nian Wu

Annual Conference on Neural Information Processing Systems,2021

Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments. [Link]

Muzhi Han,Zeyu Zhang 0001,Ziyuan Jiao,Xu Xie 0001,Yixin Zhu,Song-Chun Zhu,Hangxin Liu

IEEE International Conference on Robotics and Automation,2021

Robust Visual Reasoning via Language Guided Neural Module Networks. [Link]

Arjun R. Akula,Varun Jampani,Soravit Changpinyo,Song-Chun Zhu

Annual Conference on Neural Information Processing Systems,2021

SMART: A Situation Model for Algebra Story Problems via Attributed Grammar. [Link]

Yining Hong,Qing Li 0003,Ran Gong,Daniel Ciao,Siyuan Huang,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2021

Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds. [Link]

Siyuan Huang,Yichen Xie,Song-Chun Zhu,Yixin Zhu

International Conference on Computer Vision,2021

Stochastic Security: Adversarial Defense Using Long-Run Dynamics of Energy-Based Models. [Link]

Mitch Hill,Jonathan Craig Mitchell,Song-Chun Zhu

International Conference on Learning Representations,2021

Unsupervised Foreground Extraction via Deep Region Competition. [Link]

Peiyu Yu,Sirui Xie,Xiaojian Ma,Yixin Zhu,Ying Nian Wu,Song-Chun Zhu

Annual Conference on Neural Information Processing Systems,2021

VLGrammar: Grounded Grammar Induction of Vision and Language. [Link]

Yining Hong,Qing Li 0003,Song-Chun Zhu,Siyuan Huang

International Conference on Computer Vision,2021

YouRefIt: Embodied Reference Understanding with Language and Gesture. [Link]

Yixin Chen 0003,Qing Li 0003,Deqian Kong,Yik Lun Kei,Song-Chun Zhu,Tao Gao,Yixin Zhu,Siyuan Huang

International Conference on Computer Vision,2021

A Competence-Aware Curriculum for Visual Concepts Learning via Question Answering. [Link]

Qing Li 0003,Siyuan Huang,Yining Hong,Song-Chun Zhu

European Conference on Computer Vision,2020

A massively parallel and scalable multi-CPU material point method. [Link]

Xinlei Wang,Yuxing Qiu,Stuart R. Slattery,Yu Fang,Minchen Li,Song-Chun Zhu,Yixin Zhu,Min Tang 0001,Dinesh Manocha,Chenfanfu Jiang

ACM Transactions on Graphics,2020

Closed Loop Neural-Symbolic Learning via Integrating Neural Perception, Grammar Parsing, and Symbolic Reasoning. [Link]

Qing Li 0003,Siyuan Huang,Yining Hong,Yixin Chen 0003,Ying Nian Wu,Song-Chun Zhu

International Conference on Machine Learning,2020

CoCoX: Generating Conceptual and Counterfactual Explanations via Fault-Lines. [Link]

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

AAAI Conference on Artificial Intelligence,2020

Congestion-aware Evacuation Routing using Augmented Reality Devices. [Link]

Zeyu Zhang 0001,Hangxin Liu,Ziyuan Jiao,Yixin Zhu,Song-Chun Zhu

IEEE International Conference on Robotics and Automation,2020

Cooperative Training of Descriptor and Generator Networks. [Link]

Jianwen Xie,Yang Lu 0006,Ruiqi Gao,Song-Chun Zhu,Ying Nian Wu

Trans on Pattern Analysis and Machine Intelligence,2020

Graph-based Hierarchical Knowledge Representation for Robot Task Transfer from Virtual to Physical World. [Link]

Zhenliang Zhang 0002,Yixin Zhu,Song-Chun Zhu

IEEERSJ International Conference on Intelligent Robots and Systems,2020

Human-Robot Interaction in a Shared Augmented Reality Workspace. [Link]

Shuwen Qiu,Hangxin Liu,Zeyu Zhang 0001,Yixin Zhu,Song-Chun Zhu

IEEERSJ International Conference on Intelligent Robots and Systems,2020

Inducing Hierarchical Compositional Model by Sparsifying Generator Network. [Link]

Xianglei Xing,Tianfu Wu 0001,Song-Chun Zhu,Ying Nian Wu

IEEE Conference on Computer Vision and Pattern Recognition,2020

Joint Inference of States, Robot Knowledge, and Human (False-)Beliefs. [Link]

Tao Yuan,Hangxin Liu,Lifeng Fan,Zilong Zheng,Tao Gao,Yixin Zhu,Song-Chun Zhu

IEEE International Conference on Robotics and Automation,2020

Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks. [Link]

Xiaofeng Gao 0002,Ran Gong,Yizhou Zhao,Shu Wang 0002,Tianmin Shu,Song-Chun Zhu

IEEE International Conf. on Robot and Human Interactive Communication,2020

Joint Training of Variational Auto-Encoder and Latent Energy-Based Model. [Link]

Tian Han 0001,Erik Nijkamp,Linqi Zhou,Bo Pang,Song-Chun Zhu,Ying Nian Wu

IEEE Conference on Computer Vision and Pattern Recognition,2020

Learning Latent Space Energy-Based Prior Model. [Link]

Bo Pang,Tian Han 0001,Erik Nijkamp,Song-Chun Zhu,Ying Nian Wu

Annual Conference on Neural Information Processing Systems,2020

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

Erik Nijkamp,Bo Pang,Tian Han 0001,Linqi Zhou,Song-Chun Zhu,Ying Nian Wu

European Conference on Computer Vision,2020

Learning to infer human attention in daily activities. [Link]

Zhixiong Nan,Tianmin Shu,Ran Gong,Shu Wang 0002,Ping Wei 0001,Song-Chun Zhu,Nanning Zheng 0001

Pattern Recognition,2020

Machine Number Sense: A Dataset of Visual Arithmetic Problems for Abstract and Relational Reasoning. [Link]

Wenhe Zhang,Chi Zhang 0017,Yixin Zhu,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2020

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

Jianwen Xie,Ruiqi Gao,Zilong Zheng,Song-Chun Zhu,Ying Nian Wu

AAAI Conference on Artificial Intelligence,2020

On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models. [Link]

Erik Nijkamp,Mitch Hill,Tian Han 0001,Song-Chun Zhu,Ying Nian Wu

AAAI Conference on Artificial Intelligence,2020

Structured Attention for Unsupervised Dialogue Structure Induction. [Link]

Liang Qiu 0001,Yizhou Zhao,Weiyan Shi,Yuan Liang,Feng Shi,Tao Yuan,Zhou Yu,Song-Chun Zhu

Conference on Empirical Methods in Natural Language Processing,2020

Theory-Based Causal Transfer: Integrating Instance-Level Induction and Abstract-Level Structure Learning. [Link]

Mark Edmonds,Xiaojian Ma,Siyuan Qi,Yixin Zhu,Hongjing Lu,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2020

Words Aren't Enough, Their Order Matters: On the Robustness of Grounding Visual Referring Expressions. [Link]

Arjun R. Akula,Spandana Gella,Yaser Al-Onaizan,Song-Chun Zhu,Siva Reddy

Annual Meeting of the Association for Computational Linguistics,2020

A tale of two explanations: Enhancing human trust by explaining robot behavior. [Link]

Mark Edmonds,Feng Gao 0013,Hangxin Liu,Xu Xie 0001,Siyuan Qi,Brandon Rothrock,Yixin Zhu,Ying Nian Wu,Hongjing Lu,Song-Chun Zhu

Science Robotics,2019

Decomposing Human Causal Learning: Bottom-up Associative Learning and Top-down Schema Reasoning. [Link]

Mark Edmonds,Siyuan Qi,Yixin Zhu,James Kubricht,Song-Chun Zhu,Hongjing Lu

Annual Meeting of the Cognitive Science Society,2019

DenseRaC: Joint 3D Pose and Shape Estimation by Dense Render-and-Compare. [Link]

Yuanlu Xu,Song-Chun Zhu,Tony Tung

International Conference on Computer Vision,2019

Divergence Triangle for Joint Training of Generator Model, Energy-Based Model, and Inferential Model. [Link]

Tian Han 0001,Erik Nijkamp,Xiaolin Fang 0002,Mitch Hill,Song-Chun Zhu,Ying Nian Wu

IEEE Conference on Computer Vision and Pattern Recognition,2019

High-Fidelity Grasping in Virtual Reality using a Glove-based System. [Link]

Hangxin Liu,Zhenliang Zhang 0002,Xu Xie 0001,Yixin Zhu,Yue Liu 0005,Yongtian Wang,Song-Chun Zhu

IEEE International Conference on Robotics and Automation,2019

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

Yixin Chen 0003,Siyuan Huang,Tao Yuan,Yixin Zhu,Siyuan Qi,Song-Chun Zhu

International Conference on Computer Vision,2019

Learning Dynamic Generator Model by Alternating Back-Propagation through Time. [Link]

Jianwen Xie,Ruiqi Gao,Zilong Zheng,Song-Chun Zhu,Ying Nian Wu

AAAI Conference on Artificial Intelligence,2019

Learning Non-Convergent Non-Persistent Short-Run MCMC Toward Energy-Based Model. [Link]

Erik Nijkamp,Mitch Hill,Song-Chun Zhu,Ying Nian Wu

Annual Conference on Neural Information Processing Systems,2019

Learning Perceptual Inference by Contrasting. [Link]

Chi Zhang 0017,Baoxiong Jia,Feng Gao 0013,Yixin Zhu,Hongjing Lu,Song-Chun Zhu

Annual Conference on Neural Information Processing Systems,2019

Learning Virtual Grasp with Failed Demonstrations via Bayesian Inverse Reinforcement Learning. [Link]

Xu Xie 0001,Changyang Li,Chi Zhang 0017,Yixin Zhu,Song-Chun Zhu

IEEERSJ International Conference on Intelligent Robots and Systems,2019

MetaStyle: Three-Way Trade-off among Speed, Flexibility, and Quality in Neural Style Transfer. [Link]

Chi Zhang 0017,Yixin Zhu,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2019

Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions. [Link]

Hangxin Liu,Chi Zhang 0017,Yixin Zhu,Chenfanfu Jiang,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2019

Partitioning the Perception of Physical and Social Events Within a Unified Psychological Space. [Link]

Tianmin Shu,Yujia Peng,Hongjing Lu,Song-Chun Zhu

Annual Meeting of the Cognitive Science Society,2019

PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points. [Link]

Siyuan Huang,Yixin Chen 0003,Tao Yuan,Siyuan Qi,Yixin Zhu,Song-Chun Zhu

Annual Conference on Neural Information Processing Systems,2019

RAVEN: A Dataset for Relational and Analogical Visual REasoNing. [Link]

Chi Zhang 0017,Feng Gao 0013,Baoxiong Jia,Yixin Zhu,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2019

Reasoning Visual Dialogs With Structural and Partial Observations. [Link]

Zilong Zheng,Wenguan Wang,Siyuan Qi,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2019

Recognizing Unseen Attribute-Object Pair with Generative Model. [Link]

Zhixiong Nan,Yang Liu,Nanning Zheng 0001,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2019

Self-Supervised Incremental Learning for Sound Source Localization in Complex Indoor Environment. [Link]

Hangxin Liu,Zeyu Zhang 0001,Yixin Zhu,Song-Chun Zhu

IEEE International Conference on Robotics and Automation,2019

Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning. [Link]

Lifeng Fan,Wenguan Wang,Song-Chun Zhu,Xinyu Tang,Siyuan Huang

International Conference on Computer Vision,2019

Unsupervised Disentangling of Appearance and Geometry by Deformable Generator Network. [Link]

Xianglei Xing,Tian Han 0001,Ruiqi Gao,Song-Chun Zhu,Ying Nian Wu

IEEE Conference on Computer Vision and Pattern Recognition,2019

A Causal And-Or Graph Model for Visibility Fluent Reasoning in Tracking Interacting Objects. [Link]

Yuanlu Xu,Lei Qin,Xiaobai Liu,Jianwen Xie,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2018

Attentive Fashion Grammar Network for Fashion Landmark Detection and Clothing Category Classification. [Link]

Wenguan Wang,Yuanlu Xu,Jianbing Shen,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2018

Attribute And-Or Grammar for Joint Parsing of Human Pose, Parts and Attributes. [Link]

Seyoung Park,Bruce Xiaohan Nie,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2018

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

Chenfanfu Jiang,Siyuan Qi,Yixin Zhu,Siyuan Huang,Jenny Lin,Lap-Fai Yu,Demetri Terzopoulos,Song-Chun Zhu

International Journal of Computer Vision,2018

Cooperative Holistic Scene Understanding: Unifying 3D Object, Layout, and Camera Pose Estimation. [Link]

Siyuan Huang,Siyuan Qi,Yinxue Xiao,Yixin Zhu,Ying Nian Wu,Song-Chun Zhu

Annual Conference on Neural Information Processing Systems,2018

Examining CNN Representations With Respect to Dataset Bias. [Link]

Quanshi Zhang,Wenguan Wang,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2018

Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction. [Link]

Siyuan Qi,Baoxiong Jia,Song-Chun Zhu

International Conference on Machine Learning,2018

Holistic 3D Scene Parsing and Reconstruction from a Single RGB Image. [Link]

Siyuan Huang,Siyuan Qi,Yixin Zhu,Yinxue Xiao,Yuanlu Xu,Song-Chun Zhu

European Conference on Computer Vision,2018

Human Causal Transfer: Challenges for Deep Reinforcement Learning. [Link]

Mark Edmonds,James Kubricht,Colin Summers,Yixin Zhu,Brandon Rothrock,Song-Chun Zhu,Hongjing Lu

Annual Meeting of the Cognitive Science Society,2018

Human-Centric Indoor Scene Synthesis Using Stochastic Grammar. [Link]

Siyuan Qi,Yixin Zhu,Siyuan Huang,Chenfanfu Jiang,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2018

Inferring Shared Attention in Social Scene Videos. [Link]

Lifeng Fan,Yixin Chen 0003,Ping Wei 0001,Wenguan Wang,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2018

Intent-Aware Multi-Agent Reinforcement Learning. [Link]

Siyuan Qi,Song-Chun Zhu

IEEE International Conference on Robotics and Automation,2018

Interactive Robot Knowledge Patching Using Augmented Reality. [Link]

Hangxin Liu,Yaofang Zhang,Wenwen Si,Xu Xie 0001,Yixin Zhu,Song-Chun Zhu

IEEE International Conference on Robotics and Automation,2018

Interpretable Convolutional Neural Networks. [Link]

Quanshi Zhang,Ying Nian Wu,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2018

Interpreting CNN Knowledge via an Explanatory Graph. [Link]

Quanshi Zhang,Ruiming Cao,Feng Shi,Ying Nian Wu,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2018

Learning Descriptor Networks for 3D Shape Synthesis and Analysis. [Link]

Jianwen Xie,Zilong Zheng,Ruiqi Gao,Wenguan Wang,Song-Chun Zhu,Ying Nian Wu

IEEE Conference on Computer Vision and Pattern Recognition,2018

Learning Generative ConvNets via Multi-Grid Modeling and Sampling. [Link]

Ruiqi Gao,Yang Lu 0006,Junpei Zhou,Song-Chun Zhu,Ying Nian Wu

IEEE Conference on Computer Vision and Pattern Recognition,2018

Learning Human-Object Interactions by Graph Parsing Neural Networks. [Link]

Siyuan Qi,Wenguan Wang,Baoxiong Jia,Jianbing Shen,Song-Chun Zhu

European Conference on Computer Vision,2018

Learning Pose Grammar to Encode Human Body Configuration for 3D Pose Estimation. [Link]

Haoshu Fang,Yuanlu Xu,Wenguan Wang,Xiaobai Liu,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2018

Learning and Inferring "Dark Matter" and Predicting Human Intents and Trajectories in Videos. [Link]

Dan Xie,Tianmin Shu,Sinisa Todorovic,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2018

Mining deep And-Or object structures via cost-sensitive question-answer-based active annotations. [Link]

Quanshi Zhang,Ying Nian Wu,Hao Zhang 0063,Song-Chun Zhu

Computer Vision and Image Understanding,2018

Perception of Human Interaction Based on Motion Trajectories: From Aerial Videos to Decontextualized Animations. [Link]

Tianmin Shu,Yujia Peng,Lifeng Fan,Hongjing Lu,Song-Chun Zhu

Topics in Cognitive Science,2018

Scene-Centric Joint Parsing of Cross-View Videos. [Link]

Hang Qi 0001,Yuanlu Xu,Tao Yuan,Tianfu Wu 0001,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2018

Single-View 3D Scene Reconstruction and Parsing by Attribute Grammar. [Link]

Xiaobai Liu,Yibiao Zhao,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2018

Spatially Perturbed Collision Sounds Attenuate Perceived Causality in 3D Launching Events. [Link]

Duotun Wang,James Kubricht,Yixin Zhu,Wei Liang,Song-Chun Zhu,Chenfanfu Jiang,Hongjing Lu

IEEE Virtual Reality conference,2018

Tracking Occluded Objects and Recovering Incomplete Trajectories by Reasoning About Containment Relations and Human Actions. [Link]

Wei Liang,Yixin Zhu,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2018

Unsupervised Learning of Hierarchical Models for Hand-Object Interactions. [Link]

Xu Xie 0001,Hangxin Liu,Mark Edmonds,Feng Gao 0013,Siyuan Qi,Yixin Zhu,Brandon Rothrock,Song-Chun Zhu

IEEE International Conference on Robotics and Automation,2018

Where and Why Are They Looking? Jointly Inferring Human Attention and Intentions in Complex Tasks. [Link]

Ping Wei 0001,Yang Liu,Tianmin Shu,Nanning Zheng 0001,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2018

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

Hangxin Liu,Xu Xie 0001,Matt Millar,Mark Edmonds,Feng Gao 0013,Yixin Zhu,Veronica J. Santos,Brandon Rothrock,Song-Chun Zhu

IEEERSJ International Conference on Intelligent Robots and Systems,2017

Alternating Back-Propagation for Generator Network. [Link]

Tian Han 0001,Yang Lu 0006,Song-Chun Zhu,Ying Nian Wu

AAAI Conference on Artificial Intelligence,2017

CERN: Confidence-Energy Recurrent Network for Group Activity Recognition. [Link]

Tianmin Shu,Sinisa Todorovic,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2017

Consistent Probabilistic Simulation Underlying Human Judgment in Substance Dynamics. [Link]

James Kubricht,Yixin Zhu,Chenfanfu Jiang,Demetri Terzopoulos,Song-Chun Zhu,Hongjing Lu

Annual Meeting of the Cognitive Science Society,2017

Cross-View People Tracking by Scene-Centered Spatio-Temporal Parsing. [Link]

Yuanlu Xu,Xiaobai Liu,Lei Qin,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2017

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

Mark Edmonds,Feng Gao 0013,Xu Xie 0001,Hangxin Liu,Siyuan Qi,Yixin Zhu,Brandon Rothrock,Song-Chun Zhu

IEEERSJ International Conference on Intelligent Robots and Systems,2017

Generative Hierarchical Learning of Sparse FRAME Models. [Link]

Jianwen Xie,Yifei Xu,Erik Nijkamp,Ying Nian Wu,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2017

Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning. [Link]

Quanshi Zhang,Ruiming Cao,Ying Nian Wu,Song-Chun Zhu

AAAI Conference on Artificial Intelligence,2017

Inferring Human Attention by Learning Latent Intentions. [Link]

Ping Wei 0001,Dan Xie,Nanning Zheng 0001,Song-Chun Zhu

International Joint Conference on Artificial Intelligence,2017

Inferring Human Interaction from Motion Trajectories in Aerial Videos. [Link]

Tianmin Shu,Yujia Peng,Lifeng Fan,Hongjing Lu,Song-Chun Zhu

Annual Meeting of the Cognitive Science Society,2017

Jointly Recognizing Object Fluents and Tasks in Egocentric Videos. [Link]

Yang Liu,Ping Wei 0001,Song-Chun Zhu

International Conference on Computer Vision,2017

Learning Human Utility from Video Demonstrations for Deductive Planning in Robotics. [Link]

Nishant Shukla,Yunzhong He,Frank Chen,Song-Chun Zhu

Conference on Robot Learning,2017

Learning social affordance grammar from videos: Transferring human interactions to human-robot interactions. [Link]

Tianmin Shu,Xiaofeng Gao 0002,Michael S. Ryoo,Song-Chun Zhu

IEEE International Conference on Robotics and Automation,2017

Mining Object Parts from CNNs via Active Question-Answering. [Link]

Quanshi Zhang,Ruiming Cao,Ying Nian Wu,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2017

Modeling 4D Human-Object Interactions for Joint Event Segmentation, Recognition, and Object Localization. [Link]

Ping Wei 0001,Yibiao Zhao,Nanning Zheng 0001,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2017

Monocular 3D Human Pose Estimation by Predicting Depth on Joints. [Link]

Bruce Xiaohan Nie,Ping Wei 0001,Song-Chun Zhu

International Conference on Computer Vision,2017

Online Object Tracking, Learning and Parsing with And-Or Graphs. [Link]

Tianfu Wu 0001,Yang Lu 0006,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2017

Predicting Human Activities Using Stochastic Grammar. [Link]

Siyuan Qi,Siyuan Huang,Ping Wei 0001,Song-Chun Zhu

International Conference on Computer Vision,2017

Single-Image 3D Scene Parsing Using Geometric Commonsense. [Link]

Chengcheng Yu,Xiaobai Liu,Song-Chun Zhu

International Joint Conference on Artificial Intelligence,2017

Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet. [Link]

Jianwen Xie,Song-Chun Zhu,Ying Nian Wu

IEEE Conference on Computer Vision and Pattern Recognition,2017

The Martian: Examining Human Physical Judgments across Virtual Gravity Fields. [Link]

Tian Ye,Siyuan Qi,James Kubricht,Yixin Zhu,Hongjing Lu,Song-Chun Zhu

IEEE Transactions on Visualization and Computer Graphics,2017

Visuomotor Adaptation and Sensory Recalibration in Reversed Hand Movement Task. [Link]

Jenny Lin,Yixin Zhu,James Kubricht,Song-Chun Zhu,Hongjing Lu

Annual Meeting of the Cognitive Science Society,2017

A Theory of Generative ConvNet. [Link]

Jianwen Xie,Yang Lu 0006,Song-Chun Zhu,Ying Nian Wu

International Conference on Machine Learning,2016

Critical Features of Joint Actions that Signal Human Interaction. [Link]

Tianmin Shu,Steven M. Thurman,Dawn Chen,Song-Chun Zhu,Hongjing Lu

Annual Meeting of the Cognitive Science Society,2016

Grounded Semantic Role Labeling. [Link]

Shaohua Yang,Qiaozi Gao,Changsong Liu,Caiming Xiong,Song-Chun Zhu,Joyce Y. Chai

The Annual Conference of the North American Chapter of the Association for Computational Linguistics,2016

Inferring Forces and Learning Human Utilities from Videos. [Link]

Yixin Zhu,Chenfanfu Jiang,Yibiao Zhao,Demetri Terzopoulos,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2016

Inferring human intent from video by sampling hierarchical plans. [Link]

Steven Holtzen,Yibiao Zhao,Tao Gao,Joshua B. Tenenbaum,Song-Chun Zhu

IEEERSJ International Conference on Intelligent Robots and Systems,2016

Jointly Learning Grounded Task Structures from Language Instruction and Visual Demonstration. [Link]

Changsong Liu,Shaohua Yang,Sari Saba-Sadiya,Nishant Shukla,Yunzhong He,Song-Chun Zhu,Joyce Yue Chai

Conference on Empirical Methods in Natural Language Processing,2016

Learning And-Or Model to Represent Context and Occlusion for Car Detection and Viewpoint Estimation. [Link]

Tianfu Wu 0001,Bo Li 0031,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2016

Learning FRAME Models Using CNN Filters. [Link]

Yang Lu 0006,Song-Chun Zhu,Ying Nian Wu

AAAI Conference on Artificial Intelligence,2016

Learning Social Affordance for Human-Robot Interaction. [Link]

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

International Joint Conference on Artificial Intelligence,2016

Multi-view People Tracking via Hierarchical Trajectory Composition. [Link]

Yuanlu Xu,Xiaobai Liu,Yang Liu,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2016

Probabilistic Simulation Predicts Human Performance on Viscous Fluid-Pouring Problem. [Link]

James Kubricht,Chenfanfu Jiang,Yixin Zhu,Song-Chun Zhu,Demetri Terzopoulos,Hongjing Lu

Annual Meeting of the Cognitive Science Society,2016

Recognizing Car Fluents from Video. [Link]

Bo Li 0031,Tianfu Wu 0001,Caiming Xiong,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2016

Robot learning with a spatial, temporal, and causal and-or graph. [Link]

Caiming Xiong,Nishant Shukla,Wenlong Xiong,Song-Chun Zhu

IEEE International Conference on Robotics and Automation,2016

What Is Where: Inferring Containment Relations from Videos. [Link]

Wei Liang,Yibiao Zhao,Yixin Zhu,Song-Chun Zhu

International Joint Conference on Artificial Intelligence,2016

Attributed Grammars for Joint Estimation of Human Attributes, Part and Pose. [Link]

Seyoung Park,Song-Chun Zhu

International Conference on Computer Vision,2015

Automated Facial Trait Judgment and Election Outcome Prediction: Social Dimensions of Face. [Link]

Jungseock Joo,Francis F. Steen,Song-Chun Zhu

International Conference on Computer Vision,2015

Evaluating Human Cognition of Containing Relations with Physical Simulation. [Link]

Wei Liang,Yibiao Zhao,Yixin Zhu,Song-Chun Zhu

Annual Meeting of the Cognitive Science Society,2015

Joint action recognition and pose estimation from video. [Link]

Bruce Xiaohan Nie,Caiming Xiong,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2015

Joint inference of groups, events and human roles in aerial videos. [Link]

Tianmin Shu,Dan Xie,Brandon Rothrock,Sinisa Todorovic,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2015

Learning 3D Object Templates by Quantizing Geometry and Appearance Spaces. [Link]

Wenze Hu,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2015

Learning Hierarchical Space Tiling for Scene Modeling, Parsing and Attribute Tagging. [Link]

Shuo Wang,Yizhou Wang 0001,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2015

Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection. [Link]

Tianfu Wu 0001,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2015

Learning Sparse FRAME Models for Natural Image Patterns. [Link]

Jianwen Xie,Wenze Hu,Song-Chun Zhu,Ying Nian Wu

International Journal of Computer Vision,2015

Mining And-Or Graphs for Graph Matching and Object Discovery. [Link]

Quanshi Zhang,Ying Nian Wu,Song-Chun Zhu

International Conference on Computer Vision,2015

Scene Understanding by Reasoning Stability and Safety. [Link]

Bo Zheng 0001,Yibiao Zhao,Joey C. Yu,Katsushi Ikeuchi,Song-Chun Zhu

International Journal of Computer Vision,2015

Understanding tools: Task-oriented object modeling, learning and recognition. [Link]

Yixin Zhu,Yibiao Zhao,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2015

Animated Pose Templates for Modeling and Detecting Human Actions. [Link]

Benjamin Z. Yao,Bruce X. Nie,Zicheng Liu 0001,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2014

Cross-View Action Modeling, Learning, and Recognition. [Link]

Jiang Wang 0001,Xiaohan Nie,Yin Xia,Ying Wu 0001,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2014

Detecting potential falling objects by inferring human action and natural disturbance. [Link]

Bo Zheng 0001,Yibiao Zhao,Joey C. Yu,Katsushi Ikeuchi,Song-Chun Zhu

IEEE International Conference on Robotics and Automation,2014

Integrating Context and Occlusion for Car Detection by Hierarchical And-Or Model. [Link]

Bo Li 0031,Tianfu Wu 0001,Song-Chun Zhu

European Conference on Computer Vision,2014

Learning Inhomogeneous FRAME Models for Object Patterns. [Link]

Jianwen Xie,Wenze Hu,Song-Chun Zhu,Ying Nian Wu

IEEE Conference on Computer Vision and Pattern Recognition,2014

Online Object Tracking, Learning, and Parsing with And-Or Graphs. [Link]

Yang Lu 0006,Tianfu Wu 0001,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2014

Single-View 3D Scene Parsing by Attributed Grammar. [Link]

Xiaobai Liu,Yibiao Zhao,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2014

Unsupervised Learning of Dictionaries of Hierarchical Compositional Models. [Link]

Jifeng Dai,Yi Hong,Wenze Hu,Song-Chun Zhu,Ying Nian Wu

IEEE Conference on Computer Vision and Pattern Recognition,2014

Visual Persuasion: Inferring Communicative Intents of Images. [Link]

Jungseock Joo,Weixin Li 0001,Francis F. Steen,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2014

Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics. [Link]

Bo Zheng 0001,Yibiao Zhao,Joey C. Yu,Katsushi Ikeuchi,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2013

Concurrent Action Detection with Structural Prediction. [Link]

Ping Wei 0001,Nanning Zheng 0001,Yibiao Zhao,Song-Chun Zhu

International Conference on Computer Vision,2013

Cosegmentation and Cosketch by Unsupervised Learning. [Link]

Jifeng Dai,Ying Nian Wu,Jie Zhou 0001,Song-Chun Zhu

International Conference on Computer Vision,2013

Discriminatively Trained And-Or Tree Models for Object Detection. [Link]

Xi Song,Tianfu Wu 0001,Yunde Jia,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2013

Human Attribute Recognition by Rich Appearance Dictionary. [Link]

Jungseock Joo,Shuo Wang,Song-Chun Zhu

International Conference on Computer Vision,2013

Inferring "Dark Matter" and "Dark Energy" from Videos. [Link]

Dan Xie,Sinisa Todorovic,Song-Chun Zhu

International Conference on Computer Vision,2013

Integrating Grammar and Segmentation for Human Pose Estimation. [Link]

Brandon Rothrock,Seyoung Park,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2013

Learning AND-OR Templates for Object Recognition and Detection. [Link]

Zhangzhang Si,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2013

Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection. [Link]

Tianfu Wu 0001,Song-Chun Zhu

International Conference on Computer Vision,2013

Learning and parsing video events with goal and intent prediction. [Link]

Mingtao Pei,Zhangzhang Si,Benjamin Z. Yao,Song-Chun Zhu

Computer Vision and Image Understanding,2013

Modeling 4D Human-Object Interactions for Event and Object Recognition. [Link]

Ping Wei 0001,Yibiao Zhao,Nanning Zheng 0001,Song-Chun Zhu

International Conference on Computer Vision,2013

Modeling Occlusion by Discriminative AND-OR Structures. [Link]

Bo Li 0031,Wenze Hu,Tianfu Wu 0001,Song-Chun Zhu

International Conference on Computer Vision,2013

Monte Carlo Tree Search for Scheduling Activity Recognition. [Link]

Mohamed R. Amer,Sinisa Todorovic,Alan Fern,Song-Chun Zhu

International Conference on Computer Vision,2013

Scene Parsing by Integrating Function, Geometry and Appearance Models. [Link]

Yibiao Zhao,Song-Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2013

Unsupervised Structure Learning of Stochastic And-Or Grammars. [Link]

Kewei Tu,Maria Pavlovskaia,Song Chun Zhu

Annual Conference on Neural Information Processing Systems,2013

Using Causal Induction in Humans to Learn and Infer Causality from Video. [Link]

Amy Sue Fire,Song-Chun Zhu

Annual Meeting of the Cognitive Science Society,2013

Weakly Supervised Learning for Attribute Localization in Outdoor Scenes. [Link]

Shuo Wang,Jungseock Joo,Yizhou Wang 0001,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2013

Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition. [Link]

Mohamed R. Amer,Dan Xie,Mingtian Zhao,Sinisa Todorovic,Song Chun Zhu

European Conference on Computer Vision,2012

Intrackability: Characterizing Video Statistics and Pursuing Video Representations. [Link]

Haifeng Gong,Song Chun Zhu

International Journal of Computer Vision,2012

Learning Hybrid Image Templates (HIT) by Information Projection. [Link]

Zhangzhang Si,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2012

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

Tianfu Wu 0001,Song Chun Zhu

International Journal of Computer Vision,2011

C4: Exploring Multiple Solutions in Graphical Models by Cluster Sampling. [Link]

Jacob Porway,Song-Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2011

Image Parsing with Stochastic Scene Grammar. [Link]

Yibiao Zhao,Song Chun Zhu

Annual Conference on Neural Information Processing Systems,2011

Image representation by active curves. [Link]

Wenze Hu,Ying Nian Wu,Song-Chun Zhu

International Conference on Computer Vision,2011

Parsing video events with goal inference and intent prediction. [Link]

Mingtao Pei,Yunde Jia,Song-Chun Zhu

International Conference on Computer Vision,2011

Unsupervised learning of event AND-OR grammar and semantics from video. [Link]

Zhangzhang Si,Mingtao Pei,Benjamin Z. Yao,Song-Chun Zhu

International Conference on Computer Vision,2011

Video Primal Sketch: A generic middle-level representation of video. [Link]

Zhi Han,Zongben Xu,Song-Chun Zhu

International Conference on Computer Vision,2011

A Compositional and Dynamic Model for Face Aging. [Link]

Jin-Li Suo,Song Chun Zhu,Shiguang Shan,Xilin Chen 0001

Trans on Pattern Analysis and Machine Intelligence,2010

A Hierarchical and Contextual Model for Aerial Image Parsing. [Link]

Jake Porway,Qiongchen Wang,Song Chun Zhu

International Journal of Computer Vision,2010

Discovering scene categories by information projection and cluster sampling. [Link]

Dengxin Dai,Tianfu Wu 0001,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2010

Layered Graph Matching with Composite Cluster Sampling. [Link]

Liang Lin,Xiaobai Liu,Song Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2010

Learning Active Basis Model for Object Detection and Recognition. [Link]

Ying Nian Wu,Zhangzhang Si,Haifeng Gong,Song Chun Zhu

International Journal of Computer Vision,2010

Learning Artistic Lighting Template from Portrait Photographs. [Link]

Xin Jin,Mingtian Zhao,Xiaowu Chen,Qinping Zhao,Song Chun Zhu

European Conference on Computer Vision,2010

Learning a probabilistic model mixing 3D and 2D primitives for view invariant object recognition. [Link]

Wenze Hu,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2010

Bottom-Up/Top-Down Image Parsing with Attribute Grammar. [Link]

Feng Han 0001,Song Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2009

Evaluating information contributions of bottom-up and top-down processes. [Link]

Xiong Yang,Tianfu Wu 0001,Song Chun Zhu

International Conference on Computer Vision,2009

Flow mosaicking: Real-time pedestrian counting without scene-specific learning. [Link]

Yang Cong,Haifeng Gong,Song Chun Zhu,Yandong Tang

IEEE Conference on Computer Vision and Pattern Recognition,2009

From image parsing to painterly rendering. [Link]

Kun Zeng,Mingtian Zhao,Caiming Xiong,Song Chun Zhu

ACM Transactions on Graphics,2009

Layered graph matching by composite cluster sampling with collaborative and competitive interactions. [Link]

Liang Lin,Kun Zeng,Xiaobai Liu,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2009

Learning deformable action templates from cluttered videos. [Link]

Benjamin Z. Yao,Song Chun Zhu

International Conference on Computer Vision,2009

Learning mixed templates for object recognition. [Link]

Zhangzhang Si,Haifeng Gong,Ying Nian Wu,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2009

Trajectory parsing by cluster sampling in spatio-temporal graph. [Link]

Xiaobai Liu,Liang Lin,Song Chun Zhu,Hai Jin 0001

IEEE Conference on Computer Vision and Pattern Recognition,2009

A Hierarchical Compositional Model for Face Representation and Sketching. [Link]

Zijian Xu 0001,Hong Chen,Song Chun Zhu,Jiebo Luo

Trans on Pattern Analysis and Machine Intelligence,2008

A hierarchical and contextual model for aerial image understanding. [Link]

Jake Porway,Kristy Wang,Benjamin Z. Yao,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2008

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

Wenze Hu,Haifeng Gong,Song Chun Zhu,Yongtian Wang

IEEE Conference on Computer Vision and Pattern Recognition,2008

Perceptual Scale-Space and Its Applications. [Link]

Yizhou Wang 0001,Song Chun Zhu

International Journal of Computer Vision,2008

A Multi-Resolution Dynamic Model for Face Aging Simulation. [Link]

Jin-Li Suo,Feng Min,Song Chun Zhu,Shiguang Shan,Xilin Chen 0001

IEEE Conference on Computer Vision and Pattern Recognition,2007

A Two-Level Generative Model for Cloth Representation and Shape from Shading. [Link]

Feng Han 0001,Song Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2007

An Empirical Study of Object Category Recognition: Sequential Testing with Generalized Samples. [Link]

Liang Lin,Shaowu Peng,Jake Porway,Song Chun Zhu,Yongtian Wang

International Conference on Computer Vision,2007

Compositional Boosting for Computing Hierarchical Image Structures. [Link]

Tianfu Wu 0001,Gui-Song Xia,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2007

Deformable Template As Active Basis. [Link]

Ying Nian Wu,Zhangzhang Si,Chuck Fleming,Song Chun Zhu

International Conference on Computer Vision,2007

Layered Graph Match with Graph Editing. [Link]

Liang Lin,Song Chun Zhu,Yongtian Wang

IEEE Conference on Computer Vision and Pattern Recognition,2007

Mapping Natural Image Patches by Explicit and Implicit Manifolds. [Link]

Kent Shi,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2007

Primal sketch: Integrating structure and texture. [Link]

Cheng-en Guo,Song Chun Zhu,Ying Nian Wu

Computer Vision and Image Understanding,2007

A Generative Sketch Model for Human Hair Analysis and Synthesis. [Link]

Hong Chen,Song Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2006

A Stochastic Grammar of Images. [Link]

Song Chun Zhu,David Mumford

Foundations and Trends in Computer Graphics and Vision,2006

Composite Templates for Cloth Modeling and Sketching. [Link]

Hong Chen,Zi Jian Xu 0001,Ziqiang Liu,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2006

Parsing Images into Regions, Curves, and Curve Groups. [Link]

Zhuowen Tu,Song Chun Zhu

International Journal of Computer Vision,2006

A Generative Model of Human Hair for Hair Sketching. [Link]

Hong Chen,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2005

A High Resolution Grammatical Model for Face Representation and Sketching. [Link]

Zijian Xu 0001,Hong Chen,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2005

Bottom-up/Top-Down Image Parsing by Attribute Graph Grammar. [Link]

Feng Han 0001,Song Chun Zhu

International Conference on Computer Vision,2005

Cloth Representation by Shape from Shading with Shading Primitives. [Link]

Feng Han 0001,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2005

Generalizing Swendsen-Wang to Sampling Arbitrary Posterior Probabilities. [Link]

Adrian Barbu,Song Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2005

Image Parsing: Unifying Segmentation, Detection, and Recognition. [Link]

Zhuowen Tu,Xiangrong Chen,Alan L. Yuille,Song Chun Zhu

International Journal of Computer Vision,2005

Incorporating Visual Knowledge Representation in Stereo Reconstruction. [Link]

Adrian Barbu,Song Chun Zhu

International Conference on Computer Vision,2005

Perceptual Scale Space and its Applications. [Link]

Yizhou Wang 0001,Siavosh Bahrami,Song Chun Zhu

International Conference on Computer Vision,2005

What are Textons? [Link]

Song Chun Zhu,Cheng-en Guo,Yizhou Wang 0001,Zijian Xu 0001

International Journal of Computer Vision,2005

Analysis and Synthesis of Textured Motion: Particles and Waves. [Link]

Yizhou Wang 0001,Song Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2004

Modeling Complex Motion by Tracking and Editing Hidden Markov Graphs. [Link]

Yizhou Wang 0001,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2004

Multigrid and Multi-Level Swendsen-Wang Cuts for Hierarchic Graph Partition. [Link]

Adrian Barbu,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,2004

Range Image Segmentation by an Effective Jump-Diffusion Method. [Link]

Feng Han 0001,Zhuowen Tu,Song Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2004

A Multi-scale Generative Model for Animate Shapes and Parts. [Link]

Aleksandr Dubinskiy,Song Chun Zhu

International Conference on Computer Vision,2003

Graph Partition by Swendsen-Wang Cuts. [Link]

Adrian Barbu,Song Chun Zhu

International Conference on Computer Vision,2003

Image Parsing: Unifying Segmentation, Detection, and Recognition. [Link]

Zhuowen Tu,Xiangrong Chen,Alan L. Yuille,Song Chun Zhu

International Conference on Computer Vision,2003

Modeling Textured Motion : Particle, Wave and Sketch. [Link]

Yizhou Wang 0001,Song Chun Zhu

International Conference on Computer Vision,2003

Modeling Visual Patterns by Integrating Descriptive and Generative Methods. [Link]

Cheng-en Guo,Song Chun Zhu,Ying Nian Wu

International Journal of Computer Vision,2003

Statistical Edge Detection: Learning and Evaluating Edge Cues. [Link]

Scott Konishi,Alan L. Yuille,James M. Coughlan,Song Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2003

Statistical Modeling and Conceptualization of Visual Patterns. [Link]

Song Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2003

Towards a Mathematical Theory of Primal Sketch and Sketchability. [Link]

Cheng-en Guo,Song Chun Zhu,Ying Nian Wu

International Conference on Computer Vision,2003

A Generative Method for Textured Motion: Analysis and Synthesis. [Link]

Yizhou Wang 0001,Song Chun Zhu

European Conference on Computer Vision,2002

A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction. [Link]

Feng Han 0001,Zhuowen Tu,Song Chun Zhu

European Conference on Computer Vision,2002

Image Segmentation by Data-Driven Markov Chain Monte Carlo. [Link]

Zhuowen Tu,Song Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,2002

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

Song Chun Zhu,Xiuwen Liu

Trans on Pattern Analysis and Machine Intelligence,2002

Parsing Images into Region and Curve Processes. [Link]

Zhuowen Tu,Song Chun Zhu

European Conference on Computer Vision,2002

Statistical Modeling of Texture Sketch. [Link]

Ying Nian Wu,Song Chun Zhu,Cheng-en Guo

European Conference on Computer Vision,2002

What Are Textons? [Link]

Song Chun Zhu,Cheng-en Guo,Ying Nian Wu,Yizhou Wang 0001

European Conference on Computer Vision,2002

Example-Based Facial Sketch Generation with Non-parametric Sampling. [Link]

Hong Chen,Ying-Qing Xu,Heung-Yeung Shum,Song Chun Zhu,Nanning Zheng 0001

International Conference on Computer Vision,2001

Image Segmentation by Data Driven Markov Chain Monte Carlo. [Link]

Zhuowen Tu,Song Chun Zhu,Heung-Yeung Shum

International Conference on Computer Vision,2001

Introduction by Guest Editors. [Link]

Alan L. Yuille,Song Chun Zhu,David Mumford

International Journal of Computer Vision,2001

Learning Inhomogeneous Gibbs Model of Faces by Minimax Entropy. [Link]

Ce Liu 0001,Song Chun Zhu,Heung-Yeung Shum

International Conference on Computer Vision,2001

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

Alan L. Yuille,James M. Coughlan,Ying Nian Wu,Song Chun Zhu

International Journal of Computer Vision,2001

Visual Learning by Integrating Descriptive and Generative Methods. [Link]

Cheng-en Guo,Song Chun Zhu,Ying Nian Wu

International Conference on Computer Vision,2001

Equivalence of Julesz Ensembles and FRAME Models. [Link]

Ying Nian Wu,Song Chun Zhu,Xiuwen Liu

International Journal of Computer Vision,2000

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

Song Chun Zhu,Xiuwen Liu,Ying Nian Wu

Trans on Pattern Analysis and Machine Intelligence,2000

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

Song Chun Zhu,Alan L. Yuille,David Mumford

International Journal of Computer Vision,2000

Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo. [Link]

Song Chun Zhu,Rong Zhang,Zhuowen Tu

IEEE Conference on Computer Vision and Pattern Recognition,2000

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

Song Chun Zhu,Xiuwen Liu

IEEE Conference on Computer Vision and Pattern Recognition,2000

Order Parameters for Minimax Entropy Distributions: When Does High Level Knowledge Help? [Link]

Alan L. Yuille,James M. Coughlan,Song Chun Zhu,Ying Nian Wu

IEEE Conference on Computer Vision and Pattern Recognition,2000

Embedding Gestalt Laws in Markov Random Fields. [Link]

Song Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,1999

Equivalence of Julesz and Gibbs Texture Ensembles. [Link]

Ying Nian Wu,Song Chun Zhu,Xiuwen Liu

International Conference on Computer Vision,1999

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

Song Chun Zhu,Ying Nian Wu

Neurocomputing,1999

Fundamental Bounds on Edge Detection: An Information Theoretic Evaluation of Different Edge Cues. [Link]

Scott Konishi,Alan L. Yuille,James M. Coughlan,Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,1999

Stochastic Jump-Diffusion Process for Computing Medial Axes in Markov Random Fields. [Link]

Song Chun Zhu

Trans on Pattern Analysis and Machine Intelligence,1999

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

Song Chun Zhu,Ying Nian Wu,David Mumford

International Journal of Computer Vision,1998

GRADE: Gibbs Reaction and Diffusion Equation. [Link]

Song Chun Zhu,David Mumford

International Conference on Computer Vision,1998

Stochastic Computation of Medial Axis in Markov Random Fields. [Link]

Song Chun Zhu

IEEE Conference on Computer Vision and Pattern Recognition,1998

Learning Generic Prior Models for Visual Computation. [Link]

Song Chun Zhu,David Mumford

IEEE Conference on Computer Vision and Pattern Recognition,1997

Minimax Entropy Principle and Its Application to Texture Modeling. [Link]

Song Chun Zhu,Ying Nian Wu,David Mumford

Neural Computation,1997

Prior Learning and Gibbs Reaction-Diffusion. [Link]

Song Chun Zhu,David Mumford

Trans on Pattern Analysis and Machine Intelligence,1997

FORMS: A flexible object recognition and modelling system. [Link]

Song Chun Zhu,Alan L. Yuille

International Journal of Computer Vision,1996

FRAME: Filters, Random fields, and Minimax Entropy - Towards a Unified Theory for Texture Modeling. [Link]

Song Chun Zhu,Ying Nian Wu,David Mumford

IEEE Conference on Computer Vision and Pattern Recognition,1996

Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation. [Link]

Song Chun Zhu,Alan L. Yuille

Trans on Pattern Analysis and Machine Intelligence,1996

FORMS: A Flexible Object Recognition and Modelling System. [Link]

Song Chun Zhu,Alan L. Yuille

International Conference on Computer Vision,1995

Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation. [Link]

Song Chun Zhu,Tai Sing Lee,Alan L. Yuille

International Conference on Computer Vision,1995