Wenping Ma

Reasoning segmentation models stumble by cramming semantic interpretation and spatial localization into a single prompt token; decoupling "what" from "where" hits state-of-the-art grounding while fine-tuning less than 0.4% of the base MLLM.

Over 1,500 submissions revealed stark differences in model performance across diverse domains, highlighting the challenges of generalizing egocentric video understanding.