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2020 – today
- 2025
[j4]Gabriel Barbosa da Fonseca, Romain Negrel, Benjamin Perret, Jean Cousty, Silvio Jamil Ferzoli Guimarães:
Hierarchy-based fuzzy segmentation and marker learning layer: theory and algorithms. J. Math. Imaging Vis. 67(4): 41 (2025)- 2024
- [c15]Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher:
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning. AAAI 2024: 14350-14358 - 2023
- [i7]Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher:
Learning Representations on the Unit Sphere: Application to Online Continual Learning. CoRR abs/2306.03364 (2023) - [i6]Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher, Toshihiko Yamasaki:
New metrics for analyzing continual learners. CoRR abs/2309.00462 (2023) - [i5]Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher:
Domain-Aware Augmentations for Unsupervised Online General Continual Learning. CoRR abs/2309.06896 (2023) - [i4]Natacha Luka, Romain Negrel, David Picard:
Image Compression using only Attention based Neural Networks. CoRR abs/2310.11265 (2023) - 2022
- [j3]Irched Chafaa
, Romain Negrel, Elena Veronica Belmega, Mérouane Debbah:
Self-Supervised Deep Learning for mmWave Beam Steering Exploiting Sub-6 GHz Channels. IEEE Trans. Wirel. Commun. 21(10): 8803-8816 (2022) - [c14]Yacine Benatia, Anne Savard, Romain Negrel, Elena Veronica Belmega:
Unsupervised deep learning to solve power allocation problems in cognitive relay networks. ICC Workshops 2022: 331-336 - [c13]Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher:
Contrastive Learning for Online Semi-Supervised General Continual Learning. ICIP 2022: 1896-1900 - [c12]Yacine Benatia, Romain Negrel, Anne Savard, Elena Veronica Belmega:
Robustness to imperfect CSI of power allocation policies in cognitive relay networks. SPAWC 2022: 1-5 - [c11]Elena Veronica Belmega, Panayotis Mertikopoulos, Romain Negrel:
Online convex optimization in wireless networks and beyond: The feedback-performance trade-off. WiOpt 2022: 298-305 - [i3]Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher:
Contrastive Learning for Online Semi-Supervised General Continual Learning. CoRR abs/2207.05615 (2022) - 2021
- [c10]Gabriel Barbosa da Fonseca, Benjamin Perret, Romain Negrel, Jean Cousty, Silvio Jamil Ferzoli Guimarães:
Fuzzy-Marker-Based Segmentation Using Hierarchies. DGMM 2021: 391-403 - [c9]Gabriel Barbosa da Fonseca, Romain Negrel, Benjamin Perret, Jean Cousty, Silvio Jamil Ferzoli Guimarães:
New hierarchy-based segmentation layer: towards automatic marker proposal. SIBGRAPI 2021: 354-361 - [c8]Irched Chafaa, Romain Negrel, Elena Veronica Belmega, Mérouane Debbah:
Federated Channel-Beam Mapping: from sub-6GHz to mmWave. WCNC Workshops 2021: 1-6
2010 – 2019
- 2018
- [i2]Elena Veronica Belmega, Panayotis Mertikopoulos, Romain Negrel, Luca Sanguinetti:
Online convex optimization and no-regret learning: Algorithms, guarantees and applications. CoRR abs/1804.04529 (2018) - 2017
- [j2]Panayotis Mertikopoulos, Elena Veronica Belmega, Romain Negrel, Luca Sanguinetti:
Distributed Stochastic Optimization via Matrix Exponential Learning. IEEE Trans. Signal Process. 65(9): 2277-2290 (2017) - 2016
- [c7]Romain Negrel, Alexis Lechervy, Frédéric Jurie:
MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval. BMVC 2016 - [i1]Panayotis Mertikopoulos, Elena Veronica Belmega, Romain Negrel, Luca Sanguinetti:
Distributed stochastic optimization via matrix exponential learning. CoRR abs/1606.01190 (2016) - 2015
- [c6]Romain Negrel, Alexis Lechervy, Frédéric Jurie:
Boosted Metric Learning for Efficient Identity-Based Face Retrieval. BMVC 2015: 139.1-139.12 - 2014
- [c5]Romain Negrel, David Picard, Philippe Henri Gosselin:
Evaluation of second-order visual features for land-use classification. CBMI 2014: 1-5 - [c4]Romain Negrel, David Picard, Philippe Henri Gosselin:
Dimensionality reduction of visual features using sparse projectors for content-based image retrieval. ICIP 2014: 2192-2196 - [c3]Romain Negrel, David Picard, Philippe Henri Gosselin:
Efficient Metric Learning Based Dimension Reduction Using Sparse Projectors for Image Near Duplicate Retrieval. ICPR 2014: 738-743 - 2013
- [j1]Romain Negrel, David Picard, Philippe Henri Gosselin:
Web-Scale Image Retrieval Using Compact Tensor Aggregation of Visual Descriptors. IEEE Multim. 20(3): 2433 (2013) - 2012
- [c2]Romain Negrel, David Picard, Philippe Henri Gosselin:
Compact tensor based image representation for similarity search. ICIP 2012: 2425-2428 - [c1]Romain Negrel, David Picard, Philippe Henri Gosselin:
Using spatial pyramids with compacted VLAT for image categorization. ICPR 2012: 2460-2463
Coauthor Index
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last updated on 2025-07-03 23:57 CEST by the dblp team
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