4 papers
RESUME: Recurrent State Updates from Motion and Residual Signals for Efficient Video Language Modeling
Can Zhang, Xiaotian Han, Junyuan Shang +5
Existing video language models encode sampled RGB frames independently, so a long video must either exhaust the token budget or drop the changes between sampled frames. Codec-aware…
From Intent to Evidence: Policy-Steered Multi-Strategy Retrieval for Long-Video Agents
Can Zhang, Baofeng Zhang, Xiaotian Han +5
Existing long-video agents acquire evidence through one uniform behavior, ignoring whether the required evidence is concentrated, requires broad occurrence coverage, or must discri…
Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models
Xinyu Chen, Haotian Zhai, Can Zhang +2
In zero-shot setting, test-time adaptation adjusts pre-trained models using unlabeled data from the test phase to enhance performance on unknown test distributions. Existing cache-…
Mitigating Cache Noise in Test-Time Adaptation for Large Vision-Language Models
Haotian Zhai, Xinyu Chen, Can Zhang +2
Test-time adaptation (TTA) of visual language models has recently attracted significant attention as a solution to the performance degradation caused by distribution shifts in down…