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Mohamed-Cherif Rahal

6 papers hereh-index 8282 citations23 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author3

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.RO3

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedSelf-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods

18 citations · 39 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2019

Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification

Florent Chiaroni, Ghazaleh Khodabandelou, Mohamed-Cherif Rahal +2

With surge of available but unlabeled data, Positive Unlabeled (PU) learning is becoming a thriving challenge. This work deals with this demanding task for which recent GAN-based P…

cs.CV2019

Self-supervised classification of dynamic obstacles using the temporal information provided by videos

Sid Ali Hamideche, Florent Chiaroni, Mohamed-Cherif Rahal

Nowadays, autonomous driving systems can detect, segment, and classify the surrounding obstacles using a monocular camera. However, state-of-the-art methods solving these tasks gen…

cs.CV2019★ 18 cited

Self-supervised learning for autonomous vehicles perception: A conciliation between analytical and learning methods

Florent Chiaroni, Mohamed-Cherif Rahal, Nicolas Hueber +1

Nowadays, supervised deep learning techniques yield the best state-of-the-art prediction performances for a wide variety of computer vision tasks. However, such supervised techniqu…

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