3 papers
cs.CV2026
Degradation Frequency Curve: An Explicit Frequency-Quantified Representation for All-in-One Image Restoration
Xinghua Huang, Zhixiong Yang, Chen Wu +6
A fundamental difficulty in all-in-one blind image restoration is that degradation is usually treated as an implicit factor hidden in degraded-to-clean mapping, rather than as an e…
cs.LG2023
A Curriculum View of Robust Loss Functions
Zebin Ou, Yue Zhang
Robust loss functions are designed to combat the adverse impacts of label noise, whose robustness is typically supported by theoretical bounds agnostic to the training dynamics. Ho…
cs.CV2023
Unified Multi-Modal Image Synthesis for Missing Modality Imputation
Yue Zhang, Chengtao Peng, Qiuli Wang +3
Multi-modal medical images provide complementary soft-tissue characteristics that aid in the screening and diagnosis of diseases. However, limited scanning time, image corruption a…