Romain Negrel

According to our database1, Romain Negrel authored at least 23 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Image Compression using only Attention based Neural Networks.
CoRR, 2023

Domain-Aware Augmentations for Unsupervised Online General Continual Learning.
CoRR, 2023

New metrics for analyzing continual learners.
CoRR, 2023

Learning Representations on the Unit Sphere: Application to Online Continual Learning.
CoRR, 2023

2022
Self-Supervised Deep Learning for mmWave Beam Steering Exploiting Sub-6 GHz Channels.
IEEE Trans. Wirel. Commun., 2022

Online convex optimization in wireless networks and beyond: The feedback-performance trade-off.
Proceedings of the 20th International Symposium on Modeling and Optimization in Mobile, 2022

Robustness to imperfect CSI of power allocation policies in cognitive relay networks.
Proceedings of the 23rd IEEE International Workshop on Signal Processing Advances in Wireless Communication, 2022

Contrastive Learning for Online Semi-Supervised General Continual Learning.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Unsupervised deep learning to solve power allocation problems in cognitive relay networks.
Proceedings of the 2022 IEEE International Conference on Communications Workshops, 2022

2021
Federated Channel-Beam Mapping: from sub-6GHz to mmWave.
Proceedings of the IEEE Wireless Communications and Networking Conference Workshops, 2021

New hierarchy-based segmentation layer: towards automatic marker proposal.
Proceedings of the 34th SIBGRAPI Conference on Graphics, Patterns and Images, 2021

Fuzzy-Marker-Based Segmentation Using Hierarchies.
Proceedings of the Discrete Geometry and Mathematical Morphology, 2021

2018
Online convex optimization and no-regret learning: Algorithms, guarantees and applications.
CoRR, 2018

2017
Distributed Stochastic Optimization via Matrix Exponential Learning.
IEEE Trans. Signal Process., 2017

2016
MLBoost Revisited: A Faster Metric Learning Algorithm for Identity-Based Face Retrieval.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Boosted Metric Learning for Efficient Identity-Based Face Retrieval.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Efficient Metric Learning Based Dimension Reduction Using Sparse Projectors for Image Near Duplicate Retrieval.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Dimensionality reduction of visual features using sparse projectors for content-based image retrieval.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Evaluation of second-order visual features for land-use classification.
Proceedings of the 12th International Workshop on Content-Based Multimedia Indexing, 2014

2013
Web-Scale Image Retrieval Using Compact Tensor Aggregation of Visual Descriptors.
IEEE Multim., 2013

2012
Using spatial pyramids with compacted VLAT for image categorization.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Compact tensor based image representation for similarity search.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012


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