Yasser Benigmim

profil_picture.jpg

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

Publications

  1. clouds_teaser.png
    Collaborating Foundation Models for Domain Generalized Semantic Segmentation
    Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, and Stéphane Lathuilière
    2024
    [CVPR 2024]
  2. datum_teaser.png
    One-Shot Unsupervised Domain Adaptation With Personalized Diffusion Models
    Yasser Benigmim, Subhankar Roy, Slim Essid, Vicky Kalogeiton, and Stéphane Lathuilière
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , Jun 2023