Hi! I’m Baoxiong, a Ph.D. candidate of Department of Computer Science, University of California, Los Angeles. I’m currently working at VCLA@UCLA advised by Prof. Song-Chun Zhu. Before coming to LA, I got my B.S. in Computer Science from EECS, Peking University in 2018 after spending two wonderful years in the PKU Operating System Lab advised by Prof. Yao Guo. Prior to my Ph.D. study, I joined the PKU-UCLA Joint Research Institute (PKU-UCLA JRI) 3+2 Program, and obtained my M.S. in Computer Science at UCLA in 2019 under the supervision of Prof. Song-Chun Zhu. My research interest lies in the intersection of computer vision, artificial intelligence and cognitive science, with an special focus on spatial-temporal learning/reasoning and its application to understanding and planning tasks in both real world (scene/activity understanding, future prediction, etc.) and abstracted domains (Atari, RAVEN, etc.).

Info: Email / Google Scholar / CV

News

  New!        One paper on unsupervised object-centric learning is accepted by ICLR 2023.

  New!        One paper on language grounding for robot manipulation is accepted as spotlight by LangRob@CoRL 2022.

  New!        EgoTaskQA project page released, checkout our code and data!

09/2022    One paper on egocentric goal-oriented reasoning is accepted by NeurIPS 2022.

05/2022    One paper on systematic generalization in RAVEN test is accepted by ECCV 2022.

04/2022    One paper on latent diffusion energy-based model is accepted by ICML 2022.

09/2021    My internship on grounded spatial-temporal reasoning for videoQA at Amazon Alexa finished!

02/2021    Two papers on abstract reasoning are accepted by CVPR 2021.

05/2020    LEMMA project page released, check out our code and data!

12/2020    I advanced to candidacy!

07/2020    One paper on multi-agent multi-task activities is accepted by ECCV 2020.

02/2020    One paper on video parsing and prediction is accepted by TPAMI 2020.

Selected Publications (All publications)

Improving Unsupervised Object-centric Learning with Query Optimization

Baoxiong Jia* , Yu Liu* , Siyuan Huang .

International Conference on Learning Represetnations (ICLR) 2023
(* 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.)

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.)