Mohamed-Cherif Rahal

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 14

Top Topics

Obstacle Detection

Image Classification

Labeled 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)
Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
Counter-examples generation from a positive unlabeled image dataset. Pattern Recognit. 107 (2020)
Sid Ali Hamideche, Florent Chiaroni, Mohamed-Cherif Rahal
Self-supervised classification of dynamic obstacles using the temporal information provided by videos. CoRR (2019)
Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
Hallucinating A Cleanly Labeled Augmented Dataset from A Noisy Labeled Dataset Using GAN. ICIP (2019)
Dominique Gruyer, Mohamed-Cherif Rahal
Multi-Layer Laser Scanner Strategy for Obstacle Detection and Tracking. AICCSA (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)
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)
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)
Hatem Hajri, Emmanuel Doucet, Marc Revilloud, Lynda Halit, Benoît Lusetti, Mohamed-Cherif Rahal
Automatic generation of ground truth for the evaluation of obstacle detection and tracking techniques. CoRR (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)
Hatem Hajri, Mohamed-Cherif Rahal
Real Time Lidar and Radar High-Level Fusion for Obstacle Detection and Tracking with evaluation on a ground truth. CoRR (2018)
Marc Revilloud, Dominique Gruyer, Mohamed-Cherif Rahal
A new multi-agent approach for lane detection and tracking. ICRA (2016)
Guillaume Bresson, Mohamed-Cherif Rahal, Dominique Gruyer, Marc Revilloud, Zayed Alsayed
A cooperative fusion architecture for robust localization: Application to autonomous driving. ITSC (2016)
Marc Revilloud, Dominique Gruyer, Mohamed-Cherif Rahal
A lane marker estimation method for improving lane detection. ITSC (2016)