EgoSound is a new benchmark with 7315 QA pairs across seven tasks to evaluate egocentric sound understanding in multimodal large language models.
Cross-view multi-modal segmentation@ ego- exo4d challenges 2025.arXiv preprint arXiv:2506.05856
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Interpolating only the video frames between synchronized exo and ego clips already turns discontinuous cross-view generation into continuous sequence modeling and measurably improves diffusion-based Exo2Ego synthesis.
V2-SAM adapts SAM2 to cross-view object correspondence with geometry-aware and appearance-based prompt generators plus a post-hoc cyclic consistency selector, reporting new state-of-the-art results on Ego-Exo4D, DAVIS-2017, and HANDAL-X.
citing papers explorer
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EgoSound: Benchmarking Sound Understanding in Egocentric Videos
EgoSound is a new benchmark with 7315 QA pairs across seven tasks to evaluate egocentric sound understanding in multimodal large language models.
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From Synchrony to Sequence: Exo-to-Ego Generation via Interpolation
Interpolating only the video frames between synchronized exo and ego clips already turns discontinuous cross-view generation into continuous sequence modeling and measurably improves diffusion-based Exo2Ego synthesis.
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V$^{2}$-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence
V2-SAM adapts SAM2 to cross-view object correspondence with geometry-aware and appearance-based prompt generators plus a post-hoc cyclic consistency selector, reporting new state-of-the-art results on Ego-Exo4D, DAVIS-2017, and HANDAL-X.