20 citations · 27 across the 3 of their papers we have counts for
3 papers
Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification
Abdallah Benzine, Mohamed El Amine Seddik, Julien Desmarais
Most recent person re-identification approaches are based on the use of deep convolutional neural networks (CNNs). These networks, although effective in multiple tasks such as clas…
Random Matrix Theory Proves that Deep Learning Representations of GAN-data Behave as Gaussian Mixtures
Mohamed El Amine Seddik, Cosme Louart, Mohamed Tamaazousti +1
This paper shows that deep learning (DL) representations of data produced by generative adversarial nets (GANs) are random vectors which fall within the class of so-called \textit{…
Generative Collaborative Networks for Single Image Super-Resolution
Mohamed El Amine Seddik, Mohamed Tamaazousti, John Lin
A common issue of deep neural networks-based methods for the problem of Single Image Super-Resolution (SISR), is the recovery of finer texture details when super-resolving at large…