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 an Associate 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 :
|May 5, 2021||The webpage for our SIGGRAPH paper is out!|
|Apr 30, 2021||We’re welcoming 3 interns in the lab this summer: Pulkit Gera, Charles Renaud, and David Ibarzabal. Welcome!|
|Apr 9, 2021||Félicitations à Julie Buquet et Mohammad Karimi Dastjerdi qui ont remporté la première et deuxième place respectivement lors de la « Journée de la relève en intelligence et données » de l’IID!|
|Apr 6, 2021||Good news from NSERC! Dominique Piché-Meunier, who will join as an MS in the fall, received the NSERC MS scholarship, and Charles Renaud and David Ibarzabal both received NSERC USRAs for their internship this summer. Congratulations!|
|Mar 24, 2021||Ne manquez pas « Intelligence artificielle : les technologies du faux » en première ce soir à 19h. Belle collaboration avec le Musée de la civilisation, où j’ai eu le plaisir de discuter de ces technologies avec Vincent Bergeron (ROBIC) et Nicolas Garneau (U. Laval), animé par Marie-Pier Élie.|
|Jan 14, 2021||Two new papers recently accepted: a new deep learning approach for generating high-quality starting points for lens designs, and a fully-differentiable, end-to-end imaging design framework (including optics, sensor, ISP, and down-stream task)! More details coming soon.|