3 citations · 6 across the 10 of their papers we have counts for
4 papers · 1 filter
High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented Transformer
Mingxian Li, Hao Sun, Yingtie Lei +5
Document images are often degraded by various stains, significantly impacting their readability and hindering downstream applications such as document digitization and analysis. Th…
SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation
Fuchen Zheng, Xuhang Chen, Weihuang Liu +5
In medical image segmentation, specialized computer vision techniques, notably transformers grounded in attention mechanisms and residual networks employing skip connections, have…
UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement
Yingtie Lei, Jia Yu, Yihang Dong +3
Underwater image enhancement (UIE) plays a crucial role in various marine applications, but it remains challenging due to the complex underwater environment. Current learning-based…
Implicit Multi-Spectral Transformer: An Lightweight and Effective Visible to Infrared Image Translation Model
Yijia Chen, Pinghua Chen, Xiangxin Zhou +3
In the field of computer vision, visible light images often exhibit low contrast in low-light conditions, presenting a significant challenge. While infrared imagery provides a pote…