344 citations · 513 across the 16 of their papers we have counts for
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cs.CV2026
From 2D Grids to 1D Tokens: Reforming Shared Representations for Multimodal Image Fusion
Yuchen Xian, Yunqiu Xu, Yang He +1
Multimodal image fusion aims to integrate complementary information from different modalities into a fused image that preserves rich local details while maintaining globally consis…
cs.CV2026
Soft Label Pruning and Quantization for Large-Scale Dataset Distillation
Xiao Lingao, Yang He
Large-scale dataset distillation requires storing auxiliary soft labels that can be 30-40x larger on ImageNet-1K and 200x larger on ImageNet-21K than the condensed images, undermin…
cs.CV2026
Dataset Color Quantization: A Training-Oriented Framework for Dataset-Level Compression
Chenyue Yu, Lingao Xiao, Jinhong Deng +2
Large-scale image datasets are fundamental to deep learning, but their high storage demands pose challenges for deployment in resource-constrained environments. While existing appr…