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Qu Tang

2 accepted papers

2023

Intrinsic Physical Concepts Discovery With Object-Centric Predictive Models

CVPR 2023poster

The ability to discover abstract physical concepts and understand how they work in the world through observing lies at the core of human intelligence. The acquisition of this ability is based on compositionally perceiving the environment in terms of objects and relations in an unsupervised manner. R…

Cited by 9SourcePDFScholar
2022

OBJECT DYNAMICS DISTILLATION FOR SCENE DECOMPOSITION AND REPRESENTATION

ICLR 2022poster

The ability to perceive scenes in terms of abstract entities is crucial for us to achieve higher-level intelligence. Recently, several methods have been proposed to learn object-centric representations of scenes with multiple objects, yet most of which focus on static scenes. In this paper, we work…

Cited by 6SourcePDFScholar