95 citations · 194 across the 18 of their papers we have counts for
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cs.CV2022
TransCL: Transformer Makes Strong and Flexible Compressive Learning
Chong Mou, Jian Zhang
Compressive learning (CL) is an emerging framework that integrates signal acquisition via compressed sensing (CS) and machine learning for inference tasks directly on a small numbe…
cs.CV2022★ 1 cited
MM-RealSR: Metric Learning based Interactive Modulation for Real-World Super-Resolution
Chong Mou, Yanze Wu, Xintao Wang +3
Interactive image restoration aims to restore images by adjusting several controlling coefficients, which determine the restoration strength. Existing methods are restricted in lea…
cs.CV2022★ 14 cited
Deep Generalized Unfolding Networks for Image Restoration
Chong Mou, Qian Wang, Jian Zhang
Deep neural networks (DNN) have achieved great success in image restoration. However, most DNN methods are designed as a black box, lacking transparency and interpretability. Altho…