Florian Lemarchand
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View article: He2Cl: a 2-step clustering algorithm to characterize cellular heterogeneity from cell morpho-dynamics behaviors
He2Cl: a 2-step clustering algorithm to characterize cellular heterogeneity from cell morpho-dynamics behaviors Open
International audience
View article: Deep-Learning Based Exploitation of Eavesdropped Images
Deep-Learning Based Exploitation of Eavesdropped Images Open
La tendance récente est de rendre les données numériques disponibles à tout moment et en tout lieu, ce qui crée de nouvelles menaces de confidentialité. Les données sont échangées et consultées à l'aide de systèmse d'information (SI) et de…
View article: NoiseBreaker: Gradual Image Denoising Guided by Noise Analysis
NoiseBreaker: Gradual Image Denoising Guided by Noise Analysis Open
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 complex, e.g. composed of an unknown mixture of primary nois…
View article: NTIRE 2020 Challenge on Image Demoireing: Methods and Results
NTIRE 2020 Challenge on Image Demoireing: Methods and Results Open
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. Demoireing is a difficult task of removing moire patterns from …
View article: Opendenoising: An Extensible Benchmark for Building Comparative Studies of Image Denoisers
Opendenoising: An Extensible Benchmark for Building Comparative Studies of Image Denoisers Open
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 generated noises (usually Gaussian) rather than on real-life noise…
View article: Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification
Electro-Magnetic Side-Channel Attack Through Learned Denoising and Classification Open
This paper proposes an upgraded electro-magnetic side-channel attack that\nautomatically reconstructs the intercepted data. A novel system is introduced,\nrunning in parallel with leakage signal interception and catching compromising\ndata…
View article: OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers
OpenDenoising: an Extensible Benchmark for Building Comparative Studies of Image Denoisers Open
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 generated noises (usually Gaussian) rather than on real-life noise…
View article: Real-Time Image Denoising with Embedded Deep Learning: Review, Perspectives and Application to Information System Security
Real-Time Image Denoising with Embedded Deep Learning: Review, Perspectives and Application to Information System Security Open
International audience