3 papers
cs.CV2025
AutoLUT: LUT-Based Image Super-Resolution with Automatic Sampling and Adaptive Residual Learning
Yuheng Xu, Shijie Yang, Xin Liu +3
In recent years, the increasing popularity of Hi-DPI screens has driven a rising demand for high-resolution images. However, the limited computational power of edge devices poses a…
cs.CV2024
From Deterministic to Probabilistic: A Novel Perspective on Domain Generalization for Medical Image Segmentation
Yuheng Xu, Taiping Zhang
Traditional domain generalization methods often rely on domain alignment to reduce inter-domain distribution differences and learn domain-invariant representations. However, domain…
cs.CV2024
Boundless Across Domains: A New Paradigm of Adaptive Feature and Cross-Attention for Domain Generalization in Medical Image Segmentation
Yuheng Xu, Taiping Zhang
Domain-invariant representation learning is a powerful method for domain generalization. Previous approaches face challenges such as high computational demands, training instabilit…