15 citations · 25 across the 3 of their papers we have counts for
4 papers
NTIRE 2020 Challenge on Image Demoireing: Methods and Results
Shanxin Yuan, Radu Timofte, Ales Leonardis +43
This paper reviews the Challenge on Image Demoireing that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2020. Demo…
NoiseBreaker: Gradual Image Denoising Guided by Noise Analysis
Florian Lemarchand, Erwan Nogues, Maxime Pelcat
Fully supervised deep-learning based denoisers are currently the most performing image denoising solutions. However, they require clean reference images. When the target noise is c…
OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers
Florian Lemarchand, Eduardo Fernandes Montesuma, Maxime Pelcat +1
Image denoising has recently taken a leap forward due to machine learning. However, image denoisers, both expert-based and learning-based, are mostly tested on well-behaved generat…
Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification
Florian Lemarchand, Cyril Marlin, Florent Montreuil +2
This paper proposes an upgraded electro-magnetic side-channel attack that automatically reconstructs the intercepted data. A novel system is introduced, running in parallel with le…