Yasser Benigmim
![profil_picture.jpg](/assets/img/profil_picture.jpg?78b38c474fd2f22e86b543ef40dfba2c)
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
Feb 27, 2024 | Our paper Collaborating Foundation Models for Domain Generalized Semantic Segmentation got accepted at CVPR 2024 |
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Jun 19, 2023 | Presented our paper One-Shot Unsupervised Domain Adaptation With Personalized Diffusion Models at CVPR-W 2023 in Vancouver |
Sep 01, 2021 | I have started my PhD with the Multimedia team (Telecom Paris) and VISTA team (Ecole Polytechnique) |