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cs.CV2026
HumanMoveVQA: Can Video MLLMs reason about human movement in videos?
Pulkit Gera, Faegheh Sardari, Asmar Nadeem +4
Despite the rapid advance of Multimodal Large Language Models (MLLMs) in high-level video understanding, a fundamental bottleneck remains: these models collapse complex human motio…
cs.MM2026
Catalogue-Grounded Multimodal Attribution for Museum Video under Resource and Regulatory Constraints
Minsak Nanang, Adrian Hilton, Armin Mustafa
Museum audiovisual archives are important records of visual culture, yet in-gallery video remains difficult to search because it lacks catalogue-compatible metadata. We propose CaG…