8 citations · 11 across the 4 of their papers we have counts for
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cs.CV2023
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…
cs.CV2022
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…
cs.CV2022★ 3 cited
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…