39 citations · 44 across the 6 of their papers we have counts for
4 papers · 1 filter
RoCNet: 3D Robust Registration of Point-Clouds using Deep Learning
Karim Slimani, Brahim Tamadazte, Catherine Achard
This paper introduces a new method for 3D point cloud registration based on deep learning. The architecture is composed of three distinct blocs: (i) an encoder composed of a convol…
PandaNet : Anchor-Based Single-Shot Multi-Person 3D Pose Estimation
Abdallah Benzine, Florian Chabot, Bertrand Luvison +2
Recently, several deep learning models have been proposed for 3D human pose estimation. Nevertheless, most of these approaches only focus on the single-person case or estimate 3D p…
Explaining Regression Based Neural Network Model
Mégane Millan, Catherine Achard
Several methods have been proposed to explain Deep Neural Network (DNN). However, to our knowledge, only classification networks have been studied to try to determine which input d…
Single-shot 3D multi-person pose estimation in complex images
Abdallah Benzine, Bertrand Luvison, Quoc Cuong Pham +1
In this paper, we propose a new single shot method for multi-person 3D human pose estimation in complex images. The model jointly learns to locate the human joints in the image, to…