3 citations · 4 across the 7 of their papers we have counts for
Showing eess.IVShow all
3 papers · 1 filter
eess.IV2025
A Tree-guided CNN for image super-resolution
Chunwei Tian, Mingjian Song, Xiaopeng Fan +3
Deep convolutional neural networks can extract more accurate structural information via deep architectures to obtain good performance in image super-resolution. However, it is not…
eess.IV2024★ 1 cited
Heterogeneous window transformer for image denoising
Chunwei Tian, Menghua Zheng, Chia-Wen Lin +2
Deep networks can usually depend on extracting more structural information to improve denoising results. However, they may ignore correlation between pixels from an image to pursue…
eess.IV2024★ 3 cited
Adaptive Convolutional Neural Network for Image Super-resolution
Ziang Wu, Jinwei Xie, Xuanyu Zhang +4
Convolutional neural networks can automatically learn features via deep network architectures and given input samples. However, the robustness of obtained models may face challenge…