A prototype-structured sign embedding space is learned from continuous video annotated with signs, where each learnable prototype corresponds to a sign class, enabling the matching between dictionary exemplars and continuous sign instances.
Ryan Wong, Youngjoon Jang, Liliane Momeni et al.· 0 citations
This work introduces TAPVid-MV (Tracking Any Point in Video across Multiple Views), the first benchmark for multi-view 3D point tracking, and identifies geometry recovery as a major bottleneck for accurate 3D point tracking.
Skanda Koppula, Frano Rajic, Abdullah Faiz Ur Rahman et al.· 1 citation
GenCeption is introduced, which leverages a pre-trained video generative diffusion backbone to define a feed-forward perception model, capable of performing various vision tasks steered by text instructions, and suggests that video generation is not merely a synthesis tool, but a foundational path toward generalist vis...
Letian Wang, Chuhan Zhang, Rishabh Kabra et al.· 6 citations
The Structured Dynamics Model (SDM) is proposed, which explicitly separates the dominant source of temporal change from residual dynamics through future-feature prediction, rather than representing video change with a single entangled latent or with unstructured, spatially dense transition tokens.
Lukas Knobel, Andrew Zisserman, Yuki M. Asano· 0 citations
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