Tag
This paper reexamines addressee detection in multi-party dialogue, proposing continuous address levels over discrete labels and showing that address relates to gaze and backchannels beyond turn-taking, suggesting graded structure.
ReViV is a unified framework for holistic egocentric 4D reconstruction that simultaneously reconstructs viewer (body, hand, gaze) and view (depth, camera trajectory) dynamics from a single monocular RGB video using a Masked Generative Egocentric Transformer, achieving state-of-the-art accuracy and efficiency.
GRASP is a large-scale dataset for social reasoning in multi-person videos, connecting high-level social questions with fine-grained gaze and gesture events, and introduces Social Grounding Reward to improve multimodal model understanding.