Poster · Sydney

RobustPruner: Decoupled Relevance and Uncertainty for Efficient Visual Token Pruning in MLLMs

Name: RobustPruner: Decoupled Relevance and Uncertainty for Efficient Visual Token Pruning in MLLMs
Start: 2026-12-08T10:00:00+11:00
End: 2026-12-08T13:00:00+11:00
Location: Hall 1-4, ICC Sydney

When: Tue 8 Dec 2026, 10:00–13:00 AEDT
Where: Hall 1-4, ICC Sydney
Exhibition Centre, Level 1
Session: Sydney Poster Session 1
Authors: Hanwei Zhu, Junhan Fu, Xi Zhang, Jiamang Wang, Weisi Lin
Organisations: City University of Hong Kong, The Chinese University of Hong Kong, Shenzhen, Shanghai University, Zhejiang University, Nanyang Technological University
QRS classification: Computer vision, Efficient and distributed ML systems

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