4 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
TPSeNCE: Towards Artifact-Free Realistic Rain Generation for Deraining and Object Detection in Rain
Shen Zheng, Changjie Lu, Srinivasa G. Narasimhan
Rain generation algorithms have the potential to improve the generalization of deraining methods and scene understanding in rainy conditions. However, in practice, they produce art…
cs.CV2021
SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Deraining
Shen Zheng, Changjie Lu, Yuxiong Wu +1
Deep learning algorithms have recently achieved promising deraining performances on both the natural and synthetic rainy datasets. As an essential low-level pre-processing stage, a…
cs.CV2019★ 4 cited
Towards Photo-Realistic Visible Watermark Removal with Conditional Generative Adversarial Networks
Xiang Li, Chan Lu, Danni Cheng +5
Visible watermark plays an important role in image copyright protection and the robustness of a visible watermark to an attack is shown to be essential. To evaluate and improve the…