Yixin Zhu | PKU
Yixin Zhu | PKU
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[arXiv23] STRAP: Structured Transformer for Affordance Segmentation with Point Supervision
With significant annotation savings, point supervision has been proven effective for numerous 2D and 3D scene understanding problems. …
Leiyao Cui
,
Xiaoxue Chen
,
Hao Zhao
,
Guyue Zhou
,
Yixin Zhu
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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
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[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
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[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
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[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
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[arXiv22] Evaluating and Inducing Personality in Pre-trained Language Models
Originating as a philosophical quest, the study of personality concerns how individuals differ in thinking, feeling, and behaving. …
Guangyuan Jiang
,
Manjie Xu
,
Song-Chun Zhu
,
Wenjuan Han
,
Chi Zhang
,
Yixin Zhu
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[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
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[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
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