52 citations · 81 across the 5 of their papers we have counts for
5 papers
Uncertainty Inspired Underwater Image Enhancement
Zhenqi Fu, Wu Wang, Yue Huang +2
A main challenge faced in the deep learning-based Underwater Image Enhancement (UIE) is that the ground truth high-quality image is unavailable. Most of the existing methods first…
CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes
Hao Huang, Yongtao Wang, Zhaoyu Chen +7
Malicious applications of deepfakes (i.e., technologies generating target facial attributes or entire faces from facial images) have posed a huge threat to individuals' reputation…
RPATTACK: Refined Patch Attack on General Object Detectors
Hao Huang, Yongtao Wang, Zhaoyu Chen +3
Nowadays, general object detectors like YOLO and Faster R-CNN as well as their variants are widely exploited in many applications. Many works have revealed that these detectors are…
Learning a Single Model with a Wide Range of Quality Factors for JPEG Image Artifacts Removal
Jianwei Li, Yongtao Wang, Haihua Xie +1
Lossy compression brings artifacts into the compressed image and degrades the visual quality. In recent years, many compression artifacts removal methods based on convolutional neu…
PNEN: Pyramid Non-Local Enhanced Networks
Feida Zhu, Chaowei Fang, Kai-Kuang Ma
Existing neural networks proposed for low-level image processing tasks are usually implemented by stacking convolution layers with limited kernel size. Every convolution layer mere…