Automatic Pedestrian Detection and Counting Applied to Urban Planning. - Thomas Michelat; Nicolas Hueber; Pierre Raymond; Alexander Pichler; Pascal Schaal; Bernard Dugaret (AmI, 2010)

A robust heart sounds segmentation module based on S-transform. - Ali Moukadem; Alain Dieterlen; Nicolas Hueber; Christian Brandt (Biomed. Signal Process. Control., 2013)

Bio-Inspired Perception Sensor (BIPS) Concept Analysis for Embedded Applications. - Louise Sarrabezolles; Antoine Manzanera; Nicolas Hueber (CIARP, 2018)

Learning with A Generative Adversarial Network From a Positive Unlabeled Dataset for Image Classification. - Florent Chiaroni; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (ICIP, 2018)

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). - Florent Chiaroni; Mohamed-Cherif Rahal; Frédéric Dufaux; Nicolas Hueber (CNIA+RJCIA, 2018)

Hallucinating A Cleanly Labeled Augmented Dataset from A Noisy Labeled Dataset Using GAN. - Florent Chiaroni; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (ICIP, 2019)

Novelty Detection with Self-Organizing Maps for Autonomous Extraction of Salient Tracking Features. - Yann Bernard; Nicolas Hueber; Bernard Girau (WSOM+, 2019)

Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification. - Florent Chiaroni; Ghazaleh Khodabandelou; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (CoRR, 2019)

A Fast Algorithm to Find Best Matching Units in Self-Organizing Maps. - Yann Bernard; Nicolas Hueber; Bernard Girau (ICANN (2), 2020)

Novelty Detection in Images Using Vector Quantization with Topological Learning. - Yann Bernard; Nicolas Hueber; Bernard Girau (ICECS, 2020)

Counter-examples generation from a positive unlabeled image dataset. - Florent Chiaroni; Ghazaleh Khodabandelou; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (Pattern Recognit., 2020)

Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods. - Florent Chiaroni; Mohamed-Cherif Rahal; Nicolas Hueber; Frédéric Dufaux (IEEE Signal Process. Mag., 2021)