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Reconstructing dynamic hand-object interactions from monocular video can be 6x faster and significantly more accurate by ditching heavy neural representations for a revived Sum-of-Gaussians approach.
Event cameras can now enable significantly more accurate and stable egocentric 3D human pose estimation, thanks to a novel state machine approach that directly leverages fine-grained event dynamics.
