most citedMulti-cropping Contrastive Learning and Domain Consistency for Unsupervised Image-to-Image Translation

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2026

MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models

Shengyuan Liu, Zanting Ye, Yunrui Lin +6

While specialized Medical Vision-Language Models (VLMs) have achieved remarkable success in interpreting 2D and 3D medical modalities, their deployment for 3D volumetric data remai…

cs.CV2023★ 1 cited

Multi-cropping Contrastive Learning and Domain Consistency for Unsupervised Image-to-Image Translation

Chen Zhao, Wei-Ling Cai, Zheng Yuan +1

Recently, unsupervised image-to-image translation methods based on contrastive learning have achieved state-of-the-art results in many tasks. However, in the previous works, the ne…