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Oct 2026

Physics-Informed Dataset Distillation.

Dataset Distillation (DD) compresses a large real dataset into a substantially smaller synthetic set for training purposes while preserving the essential semantic information. Distribution-matching DD methods empirically design statistical alignment losses to optimize the synthetic set, aiming to preserve the crucial r...

Li-Sheng Wen, Lei Zhang · 0 citations
Preprint Sep 2026

Seeing the World and the Self from Egocentric Video

Experiments show that RESELF outperforms state-of-the-art methods designed for the individual tasks across depth estimation, camera tracking, and full-body motion estimation.

Kai Guan, Minchao Jiang, Ruichen WangLi et al. · 0 citations

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