23 citations · 27 across the 4 of their papers we have counts for
4 papers
Deep-NFA: a Deep Framework for Small Object Detection
Alina Ciocarlan, Sylvie Le Hegarat-Mascle, Sidonie Lefebvre +1
The detection of small objects is a challenging task in computer vision. Conventional object detection methods have difficulty in finding the balance between high detection and low…
A statistically constrained internal method for single image super-resolution
Pierrick Chatillon, Yann Gousseau, Sidonie Lefebvre
Deep learning based methods for single-image super-resolution (SR) have drawn a lot of attention lately. In particular, various papers have shown that the learning stage can be per…
A geometrically aware auto-encoder for multi-texture synthesis
Pierrick Chatillon, Yann Gousseau, Sidonie Lefebvre
We propose an auto-encoder architecture for multi-texture synthesis. The approach relies on both a compact encoder accounting for second order neural statistics and a generator inc…
Online EM for Functional Data
Florian Maire, Eric Moulines, Sidonie Lefebvre
A novel approach to perform unsupervised sequential learning for functional data is proposed. Our goal is to extract reference shapes (referred to as templates) from noisy, deforme…