Publication

Project Code Paper

Diffusion-based Generation, Optimization, and Planning in 3D Scenes

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

Conference on Computer Vision and Pattern Recognition (CVPR) 2023
(* indicates equal contribution.)

Project Code Paper

Improving Unsupervised Object-centric Learning with Query Optimization

Baoxiong Jia* , Yu Liu* , Siyuan Huang .

International Conference on Learning Represetnations (ICLR) 2023
(* indicates equal contribution.)

ARNOLD: A Benchmark for Language-Grounded Task Learning with Continuous States in Realistic Scenes

Ran Gong* , Yizhou Zhao* , Xiaofeng Gao , Jiangyong Huang , Qingyang Wu , Wensi Ai , Ziheng Zhou , Baoxiong Jia , Song-Chun Zhu , Siyuan Huang .

Workshop on Language and Robot Learning, Conference on Robot Learning (LangRob@CoRL 2022) (Spotlight)
(* indicates equal contribution.)

Project Code Paper

EgoTaskQA: Understanding Human Tasks in Egocentric Videos

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

Advances in Neural Information Processing System (NeurIPS) 2022 (Track on Datasets and Benchmarks)

Project Code Supp Paper

Learning Algebraic Representation for Systematic Generalization in Contextual Decision Processes

Chi Zhang* , Sirui Xie* , Baoxiong Jia* , Yixin Zhu , Song-Chun Zhu , Ying Nian Wu .

European Conference on Computer Vision (ECCV) 2022
(* indicates equal contribution.)

Code Paper

Latent Diffusion Energy-Based Model for Interpretable Text Modeling

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 (ICML) 2022

Project Code Supp Paper

ACRE: Abstract Causal REasoning Beyond Covariation

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

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
(* indicates equal contribution.)

Project Code Supp Paper

Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution

Chi Zhang* , Baoxiong Jia* , Song-Chun Zhu , Yixin Zhu .

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2021
(* indicates equal contribution.)

Project Code Paper

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

Baoxiong Jia , Yixin Chen , Siyuan Huang , Yixin Zhu , Song-Chun Zhu .

European Conference on Computer Vision (ECCV) 2020

Code Paper

A Generalized Earley Parser for Human Activity Parsing and Prediction

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

Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2020

Project Code Paper

Learning Perceptual Inference by Contrasting

Chi Zhang* , Baoxiong Jia* , Feng Gao , Yixin Zhu , Hongjing lu , Song-Chun Zhu .

Conference on Neural Information Processing Systems (NeurIPS) 2019 (Spotlight)
(* indicates equal contribution.)

Project Code Supp Paper

RAVEN: A Dataset for Relational and Analogical Visual rEasoNing

Chi Zhang* , Feng Gao* , Baoxiong Jia , Yixin Zhu , Song-Chun Zhu .

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2019
(* indicates equal contribution.)

Code Paper

Learning Human-Object Interactions by Graph Parsing Neural Networks

Siyuan Qi* , Wenguan Wang* , Baoxiong Jia , Jianbin Shen , Song-Chun Zhu .

European Conference on Computer Vision (ECCV) 2018
(* indicates equal contribution.)

Project Code Supp Paper

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

Siyuan Qi , Baoxiong Jia , Song-Chun Zhu .

International Conference on Machine Learning (ICML) 2018

Project Paper

Mining User Reviews for Mobile App Comparison

Yuanchun Li , Baoxiong Jia , Yao Guo , Xiangqun Chen .

ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp) 2017