3 papers
cs.CV2025
SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement
Hanting Li, Fei Zhou, Xin Sun +3
Recent Transformer-based low-light enhancement methods have made promising progress in recovering global illumination. However, they still struggle with non-uniform lighting scenar…
eess.IV2025
Rethinking the Upsampling Layer in Hyperspectral Image Super Resolution
Haohan Shi, Fei Zhou, Xin Sun +1
Deep learning has achieved significant success in single hyperspectral image super-resolution (SHSR); however, the high spectral dimensionality leads to a heavy computational burde…
cs.CV2021
SurroundNet: Towards Effective Low-Light Image Enhancement
Fei Zhou, Xin Sun, Junyu Dong +2
Although Convolution Neural Networks (CNNs) has made substantial progress in the low-light image enhancement task, one critical problem of CNNs is the paradox of model complexity a…