10 citations · 14 across the 5 of their papers we have counts for
5 papers
Learning Physics-Informed Color-Aware Transforms for Low-Light Image Enhancement
Xingxing Yang, Jie Chen, Zaifeng Yang
Image decomposition offers deep insights into the imaging factors of visual data and significantly enhances various advanced computer vision tasks. In this work, we introduce a nov…
Multi-scale Progressive Feature Embedding for Accurate NIR-to-RGB Spectral Domain Translation
Xingxing Yang, Jie Chen, Zaifeng Yang
NIR-to-RGB spectral domain translation is a challenging task due to the mapping ambiguities, and existing methods show limited learning capacities. To address these challenges, we…
Hyperspectral Image Reconstruction via Combinatorial Embedding of Cross-Channel Spatio-Spectral Clues
Xingxing Yang, Jie Chen, Zaifeng Yang
Existing learning-based hyperspectral reconstruction methods show limitations in fully exploiting the information among the hyperspectral bands. As such, we propose to investigate…
Cooperative Colorization: Exploring Latent Cross-Domain Priors for NIR Image Spectrum Translation
Xingxing Yang, Jie Chen, Zaifeng Yang
Near-infrared (NIR) image spectrum translation is a challenging problem with many promising applications. Existing methods struggle with the mapping ambiguity between the NIR and t…
Attention-Guided NIR Image Colorization via Adaptive Fusion of Semantic and Texture Clues
Xingxing Yang, Jie Chen, Zaifeng Yang +1
Near infrared (NIR) imaging has been widely applied in low-light imaging scenarios; however, it is difficult for human and algorithms to perceive the real scene in the colorless NI…