2k citations · 6.6k across the 78 of their papers we have counts for
5 papers · 1 filter
Sparse Modeling for Image and Vision Processing
Julien Mairal, Francis Bach, Jean Ponce
In recent years, a large amount of multi-disciplinary research has been conducted on sparse models and their applications. In statistics and machine learning, the sparsity principl…
Convolutional Kernel Networks
Julien Mairal, Piotr Koniusz, Zaid Harchaoui +1
An important goal in visual recognition is to devise image representations that are invariant to particular transformations. In this paper, we address this goal with a new type of…
Fast and Robust Archetypal Analysis for Representation Learning
Yuansi Chen, Julien Mairal, Zaid Harchaoui
We revisit a pioneer unsupervised learning technique called archetypal analysis, which is related to successful data analysis methods such as sparse coding and non-negative matrix…
On learning to localize objects with minimal supervision
Hyun Oh Song, Ross Girshick, Stefanie Jegelka +3
Learning to localize objects with minimal supervision is an important problem in computer vision, since large fully annotated datasets are extremely costly to obtain. In this paper…
Incremental Majorization-Minimization Optimization with Application to Large-Scale Machine Learning
Julien Mairal
Majorization-minimization algorithms consist of successively minimizing a sequence of upper bounds of the objective function. These upper bounds are tight at the current estimate,…