Compact tensor based image representation for similarity search. - Romain Negrel; David Picard; Philippe Henri Gosselin (ICIP, 2012)

Using spatial pyramids with compacted VLAT for image categorization. - Romain Negrel; David Picard; Philippe Henri Gosselin (ICPR, 2012)

Web-Scale Image Retrieval Using Compact Tensor Aggregation of Visual Descriptors. - Romain Negrel; David Picard; Philippe Henri Gosselin (IEEE Multim., 2013)

Evaluation of second-order visual features for land-use classification. - Romain Negrel; David Picard; Philippe Henri Gosselin (CBMI, 2014)

Dimensionality reduction of visual features using sparse projectors for content-based image retrieval. - Romain Negrel; David Picard; Philippe Henri Gosselin (ICIP, 2014)

Efficient Metric Learning Based Dimension Reduction Using Sparse Projectors for Image Near Duplicate Retrieval. - Romain Negrel; David Picard; Philippe Henri Gosselin (ICPR, 2014)

Boosted Metric Learning for Efficient Identity-Based Face Retrieval. - Romain Negrel; Alexis Lechervy; Frédéric Jurie (BMVC, 2015)

MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval. - Romain Negrel; Alexis Lechervy; Frédéric Jurie (BMVC, 2016)

Distributed Stochastic Optimization via Matrix Exponential Learning. - Panayotis Mertikopoulos; Elena Veronica Belmega; Romain Negrel; Luca Sanguinetti (IEEE Trans. Signal Process., 2017)

Online convex optimization and no-regret learning: Algorithms, guarantees and applications. - Elena Veronica Belmega; Panayotis Mertikopoulos; Romain Negrel; Luca Sanguinetti (CoRR, 2018)

Fuzzy-Marker-Based Segmentation Using Hierarchies. - Gabriel Barbosa da Fonseca; Benjamin Perret; Romain Negrel; Jean Cousty; Silvio Jamil Ferzoli Guimarães (DGMM, 2021)

New hierarchy-based segmentation layer: towards automatic marker proposal. - Gabriel Barbosa da Fonseca; Romain Negrel; Benjamin Perret; Jean Cousty; Silvio Jamil Ferzoli Guimarães (SIBGRAPI, 2021)

Federated Channel-Beam Mapping: from sub-6GHz to mmWave. - Irched Chafaa; Romain Negrel; Elena Veronica Belmega; Mérouane Debbah (WCNC Workshops, 2021)

Unsupervised deep learning to solve power allocation problems in cognitive relay networks. - Yacine Benatia; Anne Savard; Romain Negrel; Elena Veronica Belmega (ICC Workshops, 2022)

Contrastive Learning for Online Semi-Supervised General Continual Learning. - Nicolas Michel; Romain Negrel; Giovanni Chierchia; Jean-François Bercher (ICIP, 2022)

Robustness to imperfect CSI of power allocation policies in cognitive relay networks. - Yacine Benatia; Romain Negrel; Anne Savard; Elena Veronica Belmega (SPAWC, 2022)

Online convex optimization in wireless networks and beyond: The feedback-performance trade-off. - Elena Veronica Belmega; Panayotis Mertikopoulos; Romain Negrel (WiOpt, 2022)

Self-Supervised Deep Learning for mmWave Beam Steering Exploiting Sub-6 GHz Channels. - Irched Chafaa; Romain Negrel; Elena Veronica Belmega; Mérouane Debbah (IEEE Trans. Wirel. Commun., 2022)

Learning Representations on the Unit Sphere: Application to Online Continual Learning. - Nicolas Michel; Giovanni Chierchia; Romain Negrel; Jean-François Bercher (CoRR, 2023)

New metrics for analyzing continual learners. - Nicolas Michel; Giovanni Chierchia; Romain Negrel; Jean-François Bercher; Toshihiko Yamasaki (CoRR, 2023)

Domain-Aware Augmentations for Unsupervised Online General Continual Learning. - Nicolas Michel; Romain Negrel; Giovanni Chierchia; Jean-François Bercher (CoRR, 2023)

Image Compression using only Attention based Neural Networks. - Natacha Luka; Romain Negrel; David Picard (CoRR, 2023)

Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning. - Nicolas Michel; Giovanni Chierchia; Romain Negrel; Jean-François Bercher (AAAI, 2024)

Hierarchy-based fuzzy segmentation and marker learning layer: theory and algorithms. - Gabriel Barbosa da Fonseca; Romain Negrel; Benjamin Perret; Jean Cousty; Silvio Jamil Ferzoli Guimarães (J. Math. Imaging Vis., 2025)