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Shenglang Zhang

1 accepted papers

2026

Ego-Grounding for Personalized Question-Answering in Egocentric Videos

CVPR 2026

We present the first systematic analysis of multimodal large language models (MLLMs) in personalized question-answering requiring ego-grounding - the ability to understand the camera-wearer in egocentric videos. To this end, we introduce MyEgo, the first egocentric VideoQA dataset designed to evalua

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