Yasser Benigmim

I am a PhD student in Computer Vision at Multimedia team (Telecom Paris) and VISTA team (LIX, École Polytechnique). I am supervised by Stéphane Lathuilière, Vicky Kalogeiton, and Slim Essid. Previously, I worked as a research engineer at École Polytechnique on predicting patient affluence at AP-HP hospitals using deep learning methods, under the supervision of Stéphane Gaiffas and Emmanuel Bacry. I hold an engineering degree from École des Mines de Saint-Étienne. My research interest lies in developing techniques to adapt models to new domains with minimal supervision, particularly for dense prediction tasks such as semantic segmentation.
News
Oct. 2024 | Started a research internship at INRIA Paris within ASTRA-vision Team under supervision of Raoul de Charette |
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Jul. 2024 | Gave an oral presentation of our paper Collaborating Foundation Models for Domain Generalized Semantic Segmentation at the conference RFIAP 2024 [Slides] |
Jun. 2024 | Gave a talk at the GDR IASIS for the meeting “Towards pragmatic learning in the context of limited labeled visual data.”[Slides] |
Mar. 2024 | Gave a presentation “Bridging Domains with Minimal Supervision: Domain Adaptation and Generalization Strategies for Semantic Segmentation” at SLB (Schlumberger) AI Lab [Slides] |
Feb. 2024 | Our paper Collaborating Foundation Models for Domain Generalized Semantic Segmentation got accepted at CVPR 2024 |
Jun. 2023 | Presented our paper One-Shot Unsupervised Domain Adaptation With Personalized Diffusion Models at CVPR-W 2023 in Vancouver |
Sep. 2021 | I have started my PhD with the Multimedia team (Telecom Paris) and VISTA team (Ecole Polytechnique) |