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The University of Hong Kong
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Robots can master delicate tool manipulation directly from unpaired human videos, achieving a 73% performance leap over SOTA by anchoring control in object-centric 3D pose priors rather than raw end-to-end pixels.
Low-light crowd counting accuracy is revolutionized by a novel multi-modal approach that leverages depth and edge information, outperforming existing methods.
