208 citations · 1.7k across the 69 of their papers we have counts for
8 papers · 1 filter
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
Long Zhou, Fereshteh Shakeri, Aymen Sadraoui +3
Transductive few-shot learning has recently triggered wide attention in computer vision. Yet, current methods introduce key hyper-parameters, which control the prediction statistic…
Transductive Zero-Shot and Few-Shot CLIP
Ségolène Martin, Yunshi Huang, Fereshteh Shakeri +2
Transductive inference has been widely investigated in few-shot image classification, but completely overlooked in the recent, fast growing literature on adapting vision-langage mo…
A Variational Approach for Joint Image Recovery and Feature Extraction Based on Spatially-Varying Generalised Gaussian Models
Emilie Chouzenoux, Marie-Caroline Corbineau, Jean-Christophe Pesquet +1
The joint problem of reconstruction / feature extraction is a challenging task in image processing. It consists in performing, in a joint manner, the restoration of an image and th…
Unrolled Variational Bayesian Algorithm for Image Blind Deconvolution
Yunshi Huang, Emilie Chouzenoux, Jean-Christophe Pesquet
In this paper, we introduce a variational Bayesian algorithm (VBA) for image blind deconvolution. Our generic framework incorporates smoothness priors on the unknown blur/image and…
A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training
Viacheslav Dudar, Giovanni Chierchia, Emilie Chouzenoux +2
In this paper, we develop a novel second-order method for training feed-forward neural nets. At each iteration, we construct a quadratic approximation to the cost function in a low…
A Fast Algorithm Based on a Sylvester-like Equation for LS Regression with GMRF Prior
Qi Wei, Emilie Chouzenoux, Jean-Yves Tourneret +1
This paper presents a fast approach for penalized least squares (LS) regression problems using a 2D Gaussian Markov random field (GMRF) prior. More precisely, the computation of th…