3 papers
cs.CV2026
One Identity, Many Roles: Multimodal Entity Coreference for Enhanced Video Situation Recognition
Balaji Darur, Amanmeet Garg, Makarand Tapaswi
Video Situation Recognition (VidSitu) addresses the challenging problem of "who did what to whom, with what, how, and where" in a video. It tests thorough video understanding by re…
cs.CV2026
Perceptio: Perception Enhanced Vision Language Models via Spatial Token Generation
Yuchen Li, Amanmeet Garg, Shalini Chaudhuri +2
Large Vision Language Models (LVLMs) excel at semantic understanding but struggle with fine grained spatial grounding, as the model must implicitly infer complex geometry without e…
cs.CV2026
CounterVid: Counterfactual Video Generation for Mitigating Action and Temporal Hallucinations in Video-Language Models
Tobia Poppi, Burak Uzkent, Amanmeet Garg +7
Video-language models (VLMs) achieve strong multimodal understanding but remain prone to hallucinations, especially when reasoning about actions and temporal order. Existing mitiga…