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 Diffusion Models for 3D is accepted by CVPR 2023. New! One paper on unsupervised object-centric learning is accepted by ICLR 2023. 12/2022 One paper on language grounding for robots is accepted as spotlight by LangRob@CoRL 2022. 10/2022 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.
