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Kan Liu

2 accepted papers

2026

RT-Lynx: Putting the GEMM Sparsity In a Right Way for Diffusion Models

ICML 2026poster

Diffusion Transformers (DiT) achieve strong performance in image generation but incur substantial inference costs. While prior work has reduced this cost via quantization and distillation, semi-structured sparsity—which can nearly halve FLOPs—remains underexplored. A key reason is that most existing…

Cited by 0SourceScholar
2015

A Spatio-Temporal Appearance Representation for Viceo-Based Pedestrian Re-Identification

ICCV 2015poster

Pedestrian re-identification is a difficult problem due to the large variations in a person's appearance caused by different poses and viewpoints, illumination changes, and occlusions. Spatial alignment is commonly used to address these issues by treating the appearance of different body parts indep…

Cited by 287PDFScholar