14 citations · 48 across the 26 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.CV2021★ 4 cited
FINO: Flow-based Joint Image and Noise Model
Lanqing Guo, Siyu Huang, Haosen Liu +1
One of the fundamental challenges in image restoration is denoising, where the objective is to estimate the clean image from its noisy measurements. To tackle such an ill-posed inv…
cs.CV2021★ 1 cited
Adversarial Purification through Representation Disentanglement
Tao Bai, Jun Zhao, Lanqing Guo +1
Deep learning models are vulnerable to adversarial examples and make incomprehensible mistakes, which puts a threat on their real-world deployment. Combined with the idea of advers…
cs.CV2021★ 7 cited
ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image Enhancement
Rongkai Zhang, Lanqing Guo, Siyu Huang +1
Low-light image enhancement (LLIE) is a pervasive yet challenging problem, since: 1) low-light measurements may vary due to different imaging conditions in practice; 2) images can…