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[arXiv22] CHAIRS: Towards Full-Body Articulated Human-Object Interaction

Fine-grained capturing of 3D HOI boosts human activity understanding and facilitates downstream visual tasks, including action …

Nan Jiang, Tengyu Liu, Zhexuan Cao, Jieming Cui, Yixin Chen, He Wang, Yixin Zhu, Siyuan Huang

[arXiv22] To think inside the box, or to think out of the box? Scientific discovery via the reciprocation of insights and concepts

If scientific discovery is one of the main driving forces of human progress, insight is the fuel for the engine, which has long …

Yu-Zhe Shi, Manjie Xu, Wenjuan Han, Yixin Zhu

[arXiv22] On the Complexity of Bayesian Generalization

We consider concept generalization at a large scale in the diverse and natural visual spectrum. Established computational modes (i.e., …

Yu-Zhe Shi, Manjie Xu, John E. Hopcroft, Kun He, Joshua B. Tenenbaum, Song-Chun Zhu, Ying Nian Wu, Wenjuan Han, Yixin Zhu

[arXiv22] On the Complexity of Bayesian Generalization

[arXiv22] Neural-Symbolic Recursive Machine for Systematic Generalization

Despite the tremendous success, existing machine learning models still fall short of human-like systematic generalization – …

Qing Li, Yixin Zhu, Yitao Liang, Ying Nian Wu, Song-Chun Zhu, Siyuan Huang

[arXiv22] EST: Evaluating Scientific Thinking in Artificial Agents

Theoretical ideas and empirical research have shown us a seemingly surprising result: children, even very young toddlers, demonstrate …

Manjie Xu, Guangyuan Jiang, Chi Zhang, Song-Chun Zhu, Yixin Zhu

[arXiv22] EST: Evaluating Scientific Thinking in Artificial Agents

[arXiv22] MPI: Evaluating and Inducing Personality in Pre-trained Language Models

Originated as a philosophical quest, personality discerns how individuals differ from each other in terms of thinking, feeling, and …

Guangyuan Jiang, Manjie Xu, Song-Chun Zhu, Wenjuan Han, Chi Zhang, Yixin Zhu

[arXiv22] MPI: Evaluating and Inducing Personality in Pre-trained Language Models

[arXiv22] PartAfford: Part-level Affordance Discovery from 3D Objects

Understanding what objects could furnish for humans-namely, learning object affordance-is the crux to bridge perception and action. In …

Chao Xu, Yixin Chen, He Wang, Song-Chun Zhu, Yixin Zhu, Siyuan Huang

[arXiv21] HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving

Humans learn compositional and causal abstraction, i.e., knowledge, in response to the structure of naturalistic tasks. When presented …

Sirui Xie, Xiaojian Ma, Peiyu Yu, Yixin Zhu, Ying Nian Wu, Song-Chun Zhu

[arXiv21] HALMA: Humanlike Abstraction Learning Meets Affordance in Rapid Problem Solving