3 citations · 3 across the 1 of their papers we have counts for
4 papers · 1 filter
Fast, Accurate and Object Boundary-Aware Surface Normal Estimation from Depth Maps
Saed Moradi, Alireza Memarmoghadam, Denis Laurendeau
This paper proposes a fast and accurate surface normal estimation method which can be directly used on depth maps (organized point clouds). The surface normal estimation process is…
Deep SVBRDF Estimation on Real Materials
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…
Self-supervised Robust Object Detectors from Partially Labelled Datasets
Mahdieh Abbasi, Denis Laurendeau, Christian Gagne
In the object detection task, merging various datasets from similar contexts but with different sets of Objects of Interest (OoI) is an inexpensive way (in terms of labor cost) for…
A Framework for Evaluating 6-DOF Object Trackers
Mathieu Garon, Denis Laurendeau, Jean-François Lalonde
We present a challenging and realistic novel dataset for evaluating 6-DOF object tracking algorithms. Existing datasets show serious limitations---notably, unrealistic synthetic da…