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UMR 6303 CNRS, Université Bourgogne Europe
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SVI360 achieves superior omnidirectional video interpolation by effectively managing distortions that plague traditional methods, setting a new standard for immersive video applications.
Synthesizing new viewpoints during training and encoding temporal dynamics with selective state-space models dramatically improves action detection, even when real-world videos have wildly different camera angles.
Zero-shot action recognition gets a boost: this method handles variations in viewpoint and body orientation, a common stumbling block for real-world deployment.