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Video-ToC drastically improves video understanding by forcing Video LLMs to focus on relevant visual cues, leading to state-of-the-art performance and reduced hallucinations.
Amodal SAM unlocks zero-shot amodal segmentation by adapting the Segment Anything Model (SAM) to infer complete object shapes, even in the presence of occlusions.
