no code implementations • 17 Sep 2022 • Saed Moradi, Alireza Memarmoghadam, Denis Laurendeau
The proposed method is compared to well-known surface normal estimation algorithms.
no code implementations • 8 Oct 2020 • Louis-Philippe Asselin, Denis Laurendeau, Jean-François Lalonde
Recent work has demonstrated that deep learning approaches can successfully be used to recover accurate estimates of the spatially-varying BRDF (SVBRDF) of a surface from as little as a single image.
no code implementations • 23 May 2020 • Mahdieh Abbasi, Denis Laurendeau, Christian Gagne
With the goal of training \emph{one integrated robust object detector with high generalization performance}, we propose a training framework to overcome missing-label challenge of the merged datasets.
1 code implementation • ECCV 2018 • Mathieu Garon, Denis Laurendeau, Jean-François Lalonde
We present a challenging and realistic novel dataset for evaluating 6-DOF object tracking algorithms.
no code implementations • 10 Apr 2013 • François-Michel De Rainville, Michèle Sebag, Christian Gagné, Marc Schoenauer, Denis Laurendeau
At each iteration, the dynamic multi-armed bandit makes a decision on which species to evolve for a generation, using the history of progress made by the different species to guide the decisions.