25 citations · 52 across the 6 of their papers we have counts for
6 papers
Cross-View Hierarchy Network for Stereo Image Super-Resolution
Wenbin Zou, Hongxia Gao, Liang Chen +4
Stereo image super-resolution aims to improve the quality of high-resolution stereo image pairs by exploiting complementary information across views. To attain superior performance…
AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results
Ren Yang, Radu Timofte, Xin Li +49
This paper reviews the Challenge on Super-Resolution of Compressed Image and Video at AIM 2022. This challenge includes two tracks. Track 1 aims at the super-resolution of compress…
Self-Calibrated Efficient Transformer for Lightweight Super-Resolution
Wenbin Zou, Tian Ye, Weixin Zheng +3
Recently, deep learning has been successfully applied to the single-image super-resolution (SISR) with remarkable performance. However, most existing methods focus on building a mo…
Mutual Learning for Domain Adaptation: Self-distillation Image Dehazing Network with Sample-cycle
Tian Ye, Yun Liu, Yunchen Zhang +2
Deep learning-based methods have made significant achievements for image dehazing. However, most of existing dehazing networks are concentrated on training models using simulated h…
Perceiving and Modeling Density is All You Need for Image Dehazing
Tian Ye, Mingchao Jiang, Yunchen Zhang +4
In the real world, the degradation of images taken under haze can be quite complex, where the spatial distribution of haze is varied from image to image. Recent methods adopt deep…
SDWNet: A Straight Dilated Network with Wavelet Transformation for Image Deblurring
Wenbin Zou, Mingchao Jiang, Yunchen Zhang +3
Image deblurring is a classical computer vision problem that aims to recover a sharp image from a blurred image. To solve this problem, existing methods apply the Encode-Decode arc…