Full professor in ECE @ Université Laval
Associate scientific director @ Institute Intelligence and Data (IID)
Welcome! I am a Full professor in the Electrical and Computer Engineering Department at Université Laval, specializing in computer vision. Since 2022, I am also the associate scientific director of the IID (Institute Intelligence and Data). I grew up in Québec City, Canada, lived almost 10 years in the States and have been 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 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.
I’ve been fortunate to count this amazing group of people as my students. My group has captured some of the largest datasets of HDR illumination, both indoors and outdoors, freely available to academic researchers. Get them here.
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 :
|Feb 27, 2023||Very excited to announce that we’ll be presenting 2 papers at CVPR 2023! Congratulations Yohan and Geoffroi, the first authors of these works.|
|Jan 15, 2023||Welcoming Ichrak Shili, new MS student, to the team. She will be working with Akshaya Athwale on wide angle images.|
|Nov 22, 2022||Geoffroi Côté successfully defended his PhD thesis today, congratulations! Next step for him: post-doc at Princeton with Felix Heide. Have fun at Princeton, Geoffroi!|
|Oct 25, 2022||At ECCV 2022 to present our two papers: ManiFest: Manifold Deformation for Few-shot Image Translation (Pizzati, Lalonde, de Charette) and Editable Indoor Lighting Estimation (Weber, Garon, Lalonde).|
|Oct 18, 2022||J’ai parlé du métavers, de ses promesses et périls dans une présentation grand public dans le cadre de la semaine ULaval pour toujours aujourd’hui. Merci à l’équipe de la formation continue de m’avoir invité à le faire. L’enregistrement est disponible ici (Youtube).|
|Oct 11, 2022||Had a blast giving a talk at the UIUC vision seminar, thank you Anand for inviting me!|