Welcome! I am originally from Québec City, Canada, and after almost 10 years in the States I am back in this beautiful city since 2013.
I obtained my Ph.D. in 2011 from the Robotics Institute, in the School of Computer Science at Carnegie Mellon University, where I was advised by Alyosha Efros and Srinivas Narasimhan. I then spent a year as a Computer Vision Scientist at Tandent, Inc., followed by another year as a Post-Doc at Disney Research, Pittsburgh. I’m now a Full Professor in the Electrical and Computer Engineering Department at Université Laval.
I do research in computer vision, machine learning, AR and VR. In particular, I am interested in exploring how physics-based models and data-driven machine learning techniques can be combined to better understand, model, interpret, and recreate the richness of our visual world. See here for a more “official” bio.
Want to know more? Do one (or many, or all) of the following:
- have a look at my publications;
- read this short paper (best paper award at WIO 2018);
- watch the keynote presentation I gave at the OmniCV workshop @ CVPR 2020
- visionnez cette présentation (séminaire REPARTI) en français :
|Aug 2, 2022||Momo’s paper, Guided Co-Modulated GAN for 360° Field of View Extrapolation, has been accepted as an ORAL to 3DV 2022. Congratulations Momo!|
|Jul 31, 2022||Yohan’s work, Overparameterization Improves StyleGAN Inversion, won the “Best (Remote) Poster Award” at the AI for Content Creation Workshop at CVPR 2022. Congratulations Yohan!|
|Jul 3, 2022||2 papers accepted to ECCV 2022! Stay tuned for details.|
|Jun 20, 2022||Attending CVPR 2022 in New Orleans, where our group will be presenting 1 conference paper, 1 workshop paper, as well as 2 workshop presentations.|
|Jun 13, 2022||Welcome to Raoul de Charette, my good friend and colleague from INRIA Paris, who is spending the week with us in the lab.|
|Jun 1, 2022||Got promoted to the rank of Full Professor!|