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Zhexuan Cao

2 accepted papers

2023

Full-Body Articulated Human-Object Interaction

ICCV 2023poster

Fine-grained capture of 3D Human-Object Interactions (HOIs) boosts human activity understanding and facilitates various downstream visual tasks. Prior models mostly assume that humans interact with rigid objects using only a few body parts, limiting their scope. In this paper, we address the challen…

Cited by 59PDFcodeScholar
2022

Label2Label: A Language Modeling Framework for Multi-Attribute Learning

ECCV 2022poster

"Objects are usually associated with multiple attributes, and these attributes often exhibit high correlations. Modeling complex relationships between attributes poses a great challenge for multi-attribute learning. This paper proposes a simple yet generic framework named Label2Label to exploit the…