12 citations · 16 across the 7 of their papers we have counts for
4 papers · 2 filters
IMSE: Intrinsic Mixture of Spectral Experts Fine-tuning for Test-Time Adaptation
Sunghyun Baek, Jaemyung Yu, Seunghee Koh +3
Test-time adaptation (TTA) has been widely explored to prevent performance degradation when test data differ from the training distribution. However, fully leveraging the rich repr…
Beyond Semantics: Disentangling Information Scope in Sparse Autoencoders for CLIP
Yusung Ro, Jaehyun Choi, Junmo Kim
Sparse Autoencoders (SAEs) have emerged as a powerful tool for interpreting the internal representations of CLIP vision encoders, yet existing analyses largely focus on the semanti…
ARGOS: Who, Where, and When in Agentic Multi-Camera Person Search
Myungchul Kim, Kwanyong Park, Junmo Kim +1
Existing person search methods assume access to complete visual queries or exhaustive tracking, yet real-world witness accounts are vague, partial, and spread across cameras and ti…
IWP: Token Pruning as Implicit Weight Pruning in Large Vision Language Models
Dong-Jae Lee, Sunghyun Baek, Junmo Kim
Large Vision Language Models show impressive performance across image and video understanding tasks, yet their computational cost grows rapidly with the number of visual tokens. Ex…