Baoxiong Jia

According to our database, Baoxiong Jia authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Move as You Say, Interact as You Can: Language-guided Human Motion Generation with Scene Affordance.

Zan Wang, Yixin Chen, Baoxiong Jia, Puhao Li, Jinlu Zhang, Jingze Zhang, Tengyu Liu, Yixin Zhu, Wei Liang, Siyuan Huang

CoRR, 2024

SceneVerse: Scaling 3D Vision-Language Learning for Grounded Scene Understanding.

Baoxiong Jia, Yixin Chen, Huangyue Yu, Yan Wang, Xuesong Niu, Tengyu Liu, Qing Li, Siyuan Huang

CoRR, 2024

2023

An Embodied Generalist Agent in 3D World.

Jiangyong Huang, Silong Yong, Xiaojian Ma, Xiongkun Linghu, Puhao Li, Yan Wang, Qing Li, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang

CoRR, 2023

ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab.

Jieming Cui, Ziren Gong, Baoxiong Jia, Siyuan Huang, Zilong Zheng, Jianzhu Ma, Yixin Zhu

CoRR, 2023

ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes.

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

CoRR, 2023

ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab.

Jieming Cui, Ziren Gong, Baoxiong Jia, Siyuan Huang, Zilong Zheng, Jianzhu Ma, Yixin Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning a Causal Transition Model for Object Cutting.

Zeyu Zhang, Muzhi Han, Baoxiong Jia, Ziyuan Jiao, Yixin Zhu, Song-Chun Zhu, Hangxin Liu

IROS, 2023

Improving Object-centric Learning with Query Optimization.

Baoxiong Jia, Yu Liu, Siyuan Huang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes.

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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events.

Bo Dai, Linge Wang, Baoxiong Jia, Zeyu Zhang, Song-Chun Zhu, Chi Zhang, Yixin Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Perceive, Ground, Reason, and Act: A Benchmark for General-purpose Visual Representation.

Jiangyong Huang, William Yicheng Zhu, Baoxiong Jia, Zan Wang, Xiaojian Ma, Qing Li, Siyuan Huang

CoRR, 2022

Unsupervised Object-Centric Learning with Bi-Level Optimized Query Slot Attention.

Baoxiong Jia, Yu Liu, Siyuan Huang

CoRR, 2022

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

CoRR, 2022

EgoTaskQA: Understanding Human Tasks in Egocentric Videos.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Latent Diffusion Energy-Based Model for Interpretable Text Modelling.

Peiyu Yu, Sirui Xie, Xiaojian Ma, Baoxiong Jia, Bo Pang, Ruiqi Gao, Yixin Zhu, Song-Chun Zhu, Ying Nian Wu

Proceedings of the International Conference on Machine Learning, 2022

Learning Algebraic Representation for Systematic Generalization in Abstract Reasoning.

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

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

A Generalized Earley Parser for Human Activity Parsing and Prediction.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

ACRE: Abstract Causal REasoning Beyond Covariation.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

LEMMA: A Multi-view Dataset for LEarning Multi-agent Multi-task Activities.

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

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Human Activity Understanding and Prediction with Stochastic Grammar.

Baoxiong Jia

PhD thesis, 2019

Learning Perceptual Inference by Contrasting.

Chi Zhang, Baoxiong Jia, Feng Gao, Yixin Zhu, Hongjing Lu, Song-Chun Zhu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

RAVEN: A Dataset for Relational and Analogical Visual REasoNing.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

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

Siyuan Qi, Baoxiong Jia, Song-Chun Zhu

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Human-Object Interactions by Graph Parsing Neural Networks.

Siyuan Qi, Wenguan Wang, Baoxiong Jia, Jianbing Shen, Song-Chun Zhu

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Mining User Reviews for Mobile App Comparisons.

Yuanchun Li, Baoxiong Jia, Yao Guo, Xiangqun Chen

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017