Mohamed-Cherif Rahal

15 papers A* 1B 2C 1Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2024 — conf
Extracting Scenarios for Automated Driving Systems: A Statistical Based Occupation-Grid Approach with Deep Semi-Supervised Learning.
ITSC
Walid Kheriji, Fouad Hadj-Selem, Ghada Ben Nejma, Thomas Bontemps, Laurent Durville, Mohamed-Cherif Rahal
2021 J jnl
Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods.
IEEE Signal Process. Mag.
Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
2020 J jnl
Counter-examples generation from a positive unlabeled image dataset.
Pattern Recognit.
Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
2019 J jnl
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification.
CoRR
Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
2019 B conf
Hallucinating A Cleanly Labeled Augmented Dataset from A Noisy Labeled Dataset Using GAN.
ICIP
Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
2019 C conf
Multi-Layer Laser Scanner Strategy for Obstacle Detection and Tracking.
AICCSA
Dominique Gruyer, Mohamed-Cherif Rahal
2019 J jnl
Self-supervised classification of dynamic obstacles using the temporal information provided by videos.
CoRR
Sid Ali Hamideche, Florent Chiaroni, Mohamed-Cherif Rahal
2019 J jnl
Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods.
CoRR
Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
2018 J jnl
Automatic generation of ground truth for the evaluation of obstacle detection and tracking techniques.
CoRR
Hatem Hajri, Emmanuel Doucet, Marc Revilloud, Lynda Halit, Benoît Lusetti, Mohamed-Cherif Rahal
2018 — conf
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
Florent Chiaroni, Mohamed-Cherif Rahal, Frédéric Dufaux, Nicolas Hueber
2018 B conf
Learning with A Generative Adversarial Network From a Positive Unlabeled Dataset for Image Classification.
ICIP
Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber, Frédéric Dufaux
2018 J jnl
Real Time Lidar and Radar High-Level Fusion for Obstacle Detection and Tracking with evaluation on a ground truth.
CoRR
Hatem Hajri, Mohamed-Cherif Rahal
2016 — conf
A cooperative fusion architecture for robust localization: Application to autonomous driving.
ITSC
Guillaume Bresson, Mohamed-Cherif Rahal, Dominique Gruyer, Marc Revilloud, Zayed Alsayed
2016 — conf
A lane marker estimation method for improving lane detection.
ITSC
Marc Revilloud, Dominique Gruyer, Mohamed-Cherif Rahal
2016 A* conf
A new multi-agent approach for lane detection and tracking.
ICRA
Marc Revilloud, Dominique Gruyer, Mohamed-Cherif Rahal