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2020 – today
- 2021
[j3]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): 31-41 (2021)- 2020
- [j2]Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
Counter-examples generation from a positive unlabeled image dataset. Pattern Recognit. 107: 107527 (2020) - [c8]Yann Bernard, Nicolas Hueber, Bernard Girau:
A Fast Algorithm to Find Best Matching Units in Self-Organizing Maps. ICANN (2) 2020: 825-837 - [c7]Yann Bernard, Nicolas Hueber, Bernard Girau:
Novelty Detection in Images Using Vector Quantization with Topological Learning. ICECS 2020: 1-4
2010 – 2019
- 2019
- [c6]Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
Hallucinating A Cleanly Labeled Augmented Dataset from A Noisy Labeled Dataset Using GAN. ICIP 2019: 3616-3620 - [c5]Yann Bernard, Nicolas Hueber, Bernard Girau:
Novelty Detection with Self-Organizing Maps for Autonomous Extraction of Salient Tracking Features. WSOM+ 2019: 100-109 - [i2]Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods. CoRR abs/1910.01636 (2019) - [i1]Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux:
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification. CoRR abs/1910.01968 (2019) - 2018
- [c4]Louise Sarrabezolles, Antoine Manzanera, Nicolas Hueber:
Bio-Inspired Perception Sensor (BIPS) Concept Analysis for Embedded Applications. CIARP 2018: 428-435 - [c3]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: 1368-1372 - [c2]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: 35-42 - 2013
- [j1]Ali Moukadem, Alain Dieterlen, Nicolas Hueber, Christian Brandt:
A robust heart sounds segmentation module based on S-transform. Biomed. Signal Process. Control. 8(3): 273-281 (2013) - 2010
- [c1]Thomas Michelat, Nicolas Hueber, Pierre Raymond, Alexander Pichler, Pascal Schaal, Bernard Dugaret:
Automatic Pedestrian Detection and Counting Applied to Urban Planning. AmI 2010: 285-289
Coauthor Index
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