Textbooks

Monte Carlo Methods

Adrian Barbu and Song-Chun Zhu

Springer, 2020.

[Amazon Link]

[Book_4_MC]

[Book_4_Coverpage]

[Book_4_MC_中文]

Computer Vision: Statistical Models for Marr's Paradigm

Song-Chun Zhu and Yingnian Wu

Springer, 2021

[Book_1_Marr]

[Book_1_Coverpage]

Computer Vision: Stochastic Grammars for Parsing Objects, Scenes, and Events

Song-Chun Zhu and Siyuan Huang

Springer, 2021

[Book_2_Parsing]

[Book_2_Coverpage]

Cognitive Models for Visual Commonsense Reasoning

Song-Chun Zhu and Yixin Zhu

Springer, 2021

[Book_3_FPICV]

[Book_3_Coverpage]

Monte Carlo Methods

Adrian Barbu and Song-Chun Zhu

Springer, 2020.

[Amazon Link]

[Book_4_MC]

[Book_4_Coverpage]

[Book_4_MC_中文]

Computer Vision: Statistical Models for Marr's Paradigm

Song-Chun Zhu and Yingnian Wu

Springer, 2021

[Book_1_Marr]

[Book_1_Coverpage]

Computer Vision: Stochastic Grammars for Parsing Objects, Scenes, and Events

Song-Chun Zhu and Siyuan Huang

Springer, 2021

[Book_2_Parsing]

[Book_2_Coverpage]

Cognitive Models for Visual Commonsense Reasoning

Song-Chun Zhu and Yixin Zhu

Springer, 2021

[Book_3_FPICV]

[Book_3_Coverpage]

Journal Publications

Select Research Area

2023

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

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

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

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

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

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

2022

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