← Search

Letian Zhou

2 accepted papers

2026

CoDA: From Text-to-Image Diffusion Models to Training-Free Dataset Distillation

ICLR 2026poster

Prevailing Dataset Distillation (DD) methods leveraging generative models confront two fundamental limitations. First, despite pioneering the use of diffusion models in DD and delivering impressive performance, the vast majority of approaches paradoxically require a diffusion model pre-trained on th…

Cited by 0SourcecodeScholar
2026

Plant Taxonomy Meets Plant Counting: A Fine-Grained, Taxonomic Dataset for Counting Hundreds of Plant Species

CVPR 2026

Visually cataloging and quantifying the natural world requires pushing the boundaries of both detailed visual classification and counting at scale. Despite significant progress, particularly in crowd and traffic analysis, the fine-grained, taxonomy-aware plant counting remains underexplored in visio

Cited by 0SourcecodeScholar