no code implementations • NeurIPS 2021 • Xi Shen, Yang Xiao, Shell Hu, Othman Sbai, Mathieu Aubry
In the problems of image retrieval and few-shot classification, the mainstream approaches focus on learning a better feature representation.
no code implementations • ECCV 2020 • Othman Sbai, Camille Couprie, Mathieu Aubry
In this paper, we systematically study the effect of variations in the training data by evaluating deep features trained on different image sets in a few-shot classification setting.
no code implementations • 13 Dec 2018 • Othman Sbai, Camille Couprie, Mathieu Aubry
Deep image generation is becoming a tool to enhance artists and designers creativity potential.
1 code implementation • 3 Apr 2018 • Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann Lecun, Camille Couprie
Can an algorithm create original and compelling fashion designs to serve as an inspirational assistant?