Nicolas Hueber

Publication Activity (10 Years)

Years Active: 2010-2021
Publications (10 Years): 11

Top Topics

Image Classification

Vector Quantization

Unlabeled Samples

Top Venues

Publications

Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods. IEEE Signal Process. Mag. 38 (1) (2021)
Yann Bernard, Nicolas Hueber, Bernard Girau
A Fast Algorithm to Find Best Matching Units in Self-Organizing Maps. ICANN (2) (2020)
Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
Counter-examples generation from a positive unlabeled image dataset. Pattern Recognit. 107 (2020)
Yann Bernard, Nicolas Hueber, Bernard Girau
Novelty Detection in Images Using Vector Quantization with Topological Learning. ICECS (2020)
Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
Hallucinating A Cleanly Labeled Augmented Dataset from A Noisy Labeled Dataset Using GAN. ICIP (2019)
Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification. CoRR (2019)
Yann Bernard, Nicolas Hueber, Bernard Girau
Novelty Detection with Self-Organizing Maps for Autonomous Extraction of Salient Tracking Features. WSOM+ (2019)
Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods. CoRR (2019)
Louise Sarrabezolles, Antoine Manzanera, Nicolas Hueber
Bio-Inspired Perception Sensor (BIPS) Concept Analysis for Embedded Applications. CIARP (2018)
Florent Chiaroni, Mohamed-Cherif Rahal, Frédéric Dufaux, Nicolas Hueber
Classification d'images en apprenant sur des échantillons positifs et non labélisés avec un réseau antagoniste génératif(Image classification by learning on positive and unlabeled samples with a generative adversarial network). CNIA+RJCIA (2018)
Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
Learning with A Generative Adversarial Network From a Positive Unlabeled Dataset for Image Classification. ICIP (2018)
Ali Moukadem, Alain Dieterlen, Nicolas Hueber, Christian Brandt
A robust heart sounds segmentation module based on S-transform. Biomed. Signal Process. Control. 8 (3) (2013)
Thomas Michelat, Nicolas Hueber, Pierre Raymond, Alexander Pichler, Pascal Schaal, Bernard Dugaret
Automatic Pedestrian Detection and Counting Applied to Urban Planning. AmI (2010)