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cs.CV2026
LongEmo: Towards Emotion Understanding and Reasoning in Long Videos
Shuo Zhang, Yifan Zhou, Han Wang +15
While recent Multimodal Large Language Models (MLLMs) have shown promise in affective computing, their reasoning capabilities are largely confined to short video clips with limited…
cs.CV2026
GleanVID: Complementary Token Selection for Efficient Video Large Language Models
Shuo Yang, Changbai Li, Rui Tang +3
Video Large Language Models (VideoLLMs) have achieved strong video understanding capabilities but incur substantial inference overhead due to the large number of visual tokens. Exi…