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Token Merging

3 papers across 2 sessions

Poster Session 1

2 papers
Wednesday, December 3, 2025 · 11:00 AM → 2:00 PM
Exhibit Hall C,D,E
DyMU: Dynamic Merging and Virtual Unmerging for Efficient Variable-Length VLMs
#5012 · Zhenhailong Wang, Senthil Purushwalkam, Caiming Xiong, Silvio Savarese, Heng Ji, Ran Xu
Frequency-Aware Token Reduction for Efficient Vision Transformer
#5109 · DongJae Lee, Jiwan Hur, Jaehyun Choi, Jaemyung Yu, Junmo Kim

Token reduction with mitigating rank-collapsing (over-smoothing) through high-frequency token preservation

Poster Session 5

1 paper
Friday, December 5, 2025 · 11:00 AM → 2:00 PM
Exhibit Hall C,D,E
How Many Tokens Do 3D Point Cloud Transformer Architectures Really Need?
#5405 · Tuan Tran Anh, Duy M. H. Nguyen, Hoai-Chau Tran, Michael Barz, Khoa D Doan, Roger Wattenhofer, Vien Ngo, Mathias Niepert, Daniel Sonntag, Paul Swoboda

optimizing 3D point cloud transformer model for large-scale processing