3 papers
cs.CV2026
Visuals Lie, Consistency Speaks: Disentangling Spatial Attention from Reliability in Vision-Language Models
Logan Mann, Yi Xia, Ajit Saravanan +6
Multimodal Foundation Models are increasingly used as reasoning agents, making reliability, knowing when a model may hallucinate, critical. A common intuition, which we call the At…
cs.CV2025
DynaStride: Dynamic Stride Windowing with MMCoT for Instructional Multi-Scene Captioning
Eddison Pham, Prisha Priyadarshini, Adrian Maliackel +3
Scene-level captioning in instructional videos can enhance learning by requiring an understanding of both visual cues and temporal structure. By aligning visual cues with textual g…
cs.CV2025
Grounding Foundational Vision Models with 3D Human Poses for Robust Action Recognition
Nicholas Babey, Tiffany Gu, Yiheng Li +2
For embodied agents to effectively understand and interact within the world around them, they require a nuanced comprehension of human actions grounded in physical space. Current a…