Baoxiong Jia

ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 40

Top Venues

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

Yandan Yang, Baoxiong Jia, Peiyuan Zhi, Siyuan Huang
PhyScene: Physically Interactable 3D Scene Synthesis for Embodied AI. CoRR (2024)
Zan Wang, Yixin Chen, Baoxiong Jia, Puhao Li, Jinlu Zhang, Jingze Zhang, Tengyu Liu, Yixin Zhu, Wei Liang, Siyuan Huang
Move as You Say, Interact as You Can: Language-guided Human Motion Generation with Scene Affordance. CoRR (2024)
Baoxiong Jia, Yixin Chen, Huangyue Yu, Yan Wang, Xuesong Niu, Tengyu Liu, Qing Li, Siyuan Huang
SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding. CoRR (2024)
Peiyuan Zhi, Zhiyuan Zhang, Muzhi Han, Zeyu Zhang, Zhitian Li, Ziyuan Jiao, Baoxiong Jia, Siyuan Huang
Closed-Loop Open-Vocabulary Mobile Manipulation with GPT-4V. CoRR (2024)
Ziyu Zhu, Zhuofan Zhang, Xiaojian Ma, Xuesong Niu, Yixin Chen, Baoxiong Jia, Zhidong Deng, Siyuan Huang, Qing Li
Unifying 3D Vision-Language Understanding via Promptable Queries. CoRR (2024)
Baoxiong Jia, Yu Liu, Siyuan Huang
Improving Object-centric Learning with Query Optimization. ICLR (2023)
Jieming Cui, Ziren Gong, Baoxiong Jia, Siyuan Huang, Zilong Zheng, Jianzhu Ma, Yixin Zhu
ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab. CoRR (2023)
Siyuan Huang, Zan Wang, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, Song-Chun Zhu
Diffusion-based Generation, Optimization, and Planning in 3D Scenes. CVPR (2023)
Bo Dai, Linge Wang, Baoxiong Jia, Zeyu Zhang, Song-Chun Zhu, Chi Zhang, Yixin Zhu
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events. CoRR (2023)
Ran Gong, Jiangyong Huang, Yizhou Zhao, Haoran Geng, Xiaofeng Gao, Qingyang Wu, Wensi Ai, Ziheng Zhou, Demetri Terzopoulos, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang
ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes. ICCV (2023)
Bo Dai, Linge Wang, Baoxiong Jia, Zeyu Zhang, Song-Chun Zhu, Chi Zhang, Yixin Zhu
X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events. ICCV (2023)
Ran Gong, Jiangyong Huang, Yizhou Zhao, Haoran Geng, Xiaofeng Gao, Qingyang Wu, Wensi Ai, Ziheng Zhou, Demetri Terzopoulos, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang
ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes. CoRR (2023)
Jieming Cui, Ziren Gong, Baoxiong Jia, Siyuan Huang, Zilong Zheng, Jianzhu Ma, Yixin Zhu
ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab. NeurIPS (2023)
Siyuan Huang, Zan Wang, Puhao Li, Baoxiong Jia, Tengyu Liu, Yixin Zhu, Wei Liang, Song-Chun Zhu
Diffusion-based Generation, Optimization, and Planning in 3D Scenes. CoRR (2023)
Zeyu Zhang, Muzhi Han, Baoxiong Jia, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu, Hangxin Liu
Learning a Causal Transition Model for Object Cutting. IROS (2023)
Jiangyong Huang, Silong Yong, Xiaojian Ma, Xiongkun Linghu, Puhao Li, Yan Wang, Qing Li, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang
An Embodied Generalist Agent in 3D World. CoRR (2023)
Jiangyong Huang, William Yicheng Zhu, Baoxiong Jia, Zan Wang, Xiaojian Ma, Qing Li, Siyuan Huang
Perceive, Ground, Reason, and Act: A Benchmark for General-purpose Visual Representation. CoRR (2022)
Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu
Latent Diffusion Energy-Based Model for Interpretable Text Modelling. ICML (2022)
Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning. ECCV (39) (2022)
Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu
Latent Diffusion Energy-Based Model for Interpretable Text Modeling. CoRR (2022)
Baoxiong Jia, Ting Lei, Song-Chun Zhu, Siyuan Huang
EgoTaskQA: Understanding Human Tasks in Egocentric Videos. CoRR (2022)
Baoxiong Jia, Ting Lei, Song-Chun Zhu, Siyuan Huang
EgoTaskQA: Understanding Human Tasks in Egocentric Videos. NeurIPS (2022)
Baoxiong Jia, Yu Liu, Siyuan Huang
Unsupervised Object-Centric Learning with Bi-Level Optimized Query Slot Attention. CoRR (2022)
Chi Zhang, Baoxiong Jia, Song-Chun Zhu, Yixin Zhu
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution. CoRR (2021)
Chi Zhang, Sirui Xie, Baoxiong Jia, Ying Nian Wu, Song-Chun Zhu, Yixin Zhu
Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning. CoRR (2021)
Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu
ACRE: Abstract Causal REasoning Beyond Covariation. CVPR (2021)
Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu
ACRE: Abstract Causal REasoning Beyond Covariation. CoRR (2021)
Siyuan Qi, Baoxiong Jia, Siyuan Huang, Ping Wei, Song-Chun Zhu
A Generalized Earley Parser for Human Activity Parsing and Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 43 (8) (2021)
Chi Zhang, Baoxiong Jia, Song-Chun Zhu, Yixin Zhu
Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution. CVPR (2021)
Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song-Chun Zhu
LEMMA: A Multi-view Dataset for Learning Multi-agent Multi-task Activities. CoRR (2020)
Baoxiong Jia, Yixin Chen, Siyuan Huang, Yixin Zhu, Song-Chun Zhu
LEMMA: A Multi-view Dataset for LEarning Multi-agent Multi-task Activities. ECCV (26) (2020)
Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
Learning Perceptual Inference by Contrasting. CoRR (2019)
Chi Zhang, Feng Gao, Baoxiong Jia, Yixin Zhu, Song-Chun Zhu
RAVEN: A Dataset for Relational and Analogical Visual rEasoNing. CoRR (2019)
Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu
Learning Perceptual Inference by Contrasting. NeurIPS (2019)
Chi Zhang, Feng Gao, Baoxiong Jia, Yixin Zhu, Song-Chun Zhu
RAVEN: A Dataset for Relational and Analogical Visual REasoNing. CVPR (2019)
Siyuan Qi, Baoxiong Jia, Song-Chun Zhu
Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction. CoRR (2018)
Siyuan Qi, Baoxiong Jia, Song-Chun Zhu
Generalized Earley Parser: Bridging Symbolic Grammars and Sequence Data for Future Prediction. ICML (2018)
Siyuan Qi, Wenguan Wang, Baoxiong Jia, Jianbing Shen, Song-Chun Zhu
Learning Human-Object Interactions by Graph Parsing Neural Networks. ECCV (9) (2018)
Siyuan Qi, Wenguan Wang, Baoxiong Jia, Jianbing Shen, Song-Chun Zhu
Learning Human-Object Interactions by Graph Parsing Neural Networks. CoRR (2018)
Yuanchun Li, Baoxiong Jia, Yao Guo, Xiangqun Chen
Mining User Reviews for Mobile App Comparisons. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1 (3) (2017)

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Publication Activity (10 Years)

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Baoxiong Jia