107 citations · 288 across the 43 of their papers we have counts for
5 papers · 1 filter
Pixel-Pair Occlusion Relationship Map(P2ORM): Formulation, Inference & Application
Xuchong Qiu, Yang Xiao, Chaohui Wang +1
We formalize concepts around geometric occlusion in 2D images (i.e., ignoring semantics), and propose a novel unified formulation of both occlusion boundaries and occlusion orienta…
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
Gilles Puy, Alexandre Boulch, Renaud Marlet
We propose and study a method called FLOT that estimates scene flow on point clouds. We start the design of FLOT by noticing that scene flow estimation on point clouds reduces to e…
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild
Yang Xiao, Vincent Lepetit, Renaud Marlet
Detecting objects and estimating their viewpoints in images are key tasks of 3D scene understanding. Recent approaches have achieved excellent results on very large benchmarks for…
Spherical Perspective on Learning with Normalization Layers
Simon Roburin, Yann de Mont-Marin, Andrei Bursuc +3
Normalization Layers (NLs) are widely used in modern deep-learning architectures. Despite their apparent simplicity, their effect on optimization is not yet fully understood. This…
FKAConv: Feature-Kernel Alignment for Point Cloud Convolution
Alexandre Boulch, Gilles Puy, Renaud Marlet
Recent state-of-the-art methods for point cloud processing are based on the notion of point convolution, for which several approaches have been proposed. In this paper, inspired by…