6 citations
- Centre Inria de l'Université Grenoble AlpesFR2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Université Grenoble AlpesFR2 papers
- Centre Inria de l'Université de LorraineFR1 paper
- Centre National de la Recherche ScientifiqueFR1 paper
- École Nationale Supérieure des Mines de ParisFR1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Institut polytechnique de GrenobleFR1 paper
- Laboratoire Jean KuntzmannFR1 paper
- MULTISPEECH: La parole multimodale en interactionFR1 paper
- ROBOTLEARN: Apprentissage, perception et commande pour des robots sociauxFR1 paper
4 papers
Beyond spectral gap (extended): The role of the topology in decentralized learning
Thijs Vogels, Hadrien Hendrikx, Martin Jaggi
In data-parallel optimization of machine learning models, workers collaborate to improve their estimates of the model: more accurate gradients allow them to use larger learning rat…
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection
Jules BOURCIER, Thomas Floquet, Gohar Dashyan +3
In defense-related remote sensing applications, such as vehicle detection on satellite imagery, supervised learning requires a huge number of labeled examples to reach operational…
Expression-preserving face frontalization improves visually assisted speech processing
Zhiqi Kang, Mostafa Sadeghi, Radu Horaud +1
Face frontalization consists of synthesizing a frontally-viewed face from an arbitrarily-viewed one. The main contribution of this paper is a frontalization methodology that preser…
A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration
Théo Bodrito, Alexandre Zouaoui, Jocelyn Chanussot +1
Hyperspectral imaging offers new perspectives for diverse applications, ranging from the monitoring of the environment using airborne or satellite remote sensing, precision farming…