39 citations · 44 across the 6 of their papers we have counts for
8 papers
SFB-net for cardiac segmentation: Bridging the semantic gap with attention
Nicolas Portal, Nadjia Kachenoura, Thomas Dietenbeck +1
In the past few years, deep learning algorithms have been widely used for cardiac image segmentation. However, most of these architectures rely on convolutions that hardly model lo…
AMII: Adaptive Multimodal Inter-personal and Intra-personal Model for Adapted Behavior Synthesis
Jieyeon Woo, Mireille Fares, Catherine Pelachaud +1
Socially Interactive Agents (SIAs) are physical or virtual embodied agents that display similar behavior as human multimodal behavior. Modeling SIAs' non-verbal behavior, such as s…
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…
SALAD: Self-Assessment Learning for Action Detection
Guillaume Vaudaux-Ruth, Adrien Chan-Hon-Tong, Catherine Achard
Literature on self-assessment in machine learning mainly focuses on the production of well-calibrated algorithms through consensus frameworks i.e. calibration is seen as a problem.…
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…
ActionSpotter: Deep Reinforcement Learning Framework for Temporal Action Spotting in Videos
Guillaume Vaudaux-Ruth, Adrien Chan-Hon-Tong, Catherine Achard
Summarizing video content is an important task in many applications. This task can be defined as the computation of the ordered list of actions present in a video. Such a list coul…
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…