1 code implementation • 18 Feb 2021 • Abdallah Benzine, Mohamed El Amine Seddik, Julien Desmarais
These networks, although effective in multiple tasks such as classification or object detection, tend to focus on the most discriminative part of an object rather than retrieving all its relevant features.
Ranked #4 on Person Re-Identification on CUHK03 detected
no code implementations • 7 Jan 2021 • Abdallah Benzine, Florian Chabot, Bertrand Luvison, Quoc Cong Pham, Cahterine Achrd
It does not need any post-processing to regroup joints since the network predicts a full 3D pose for each bounding box and allows the pose estimation of a possibly large number of people at low resolution.
no code implementations • 16 Nov 2020 • Sabrina Narimene Benassou, Wuzhen Shi, Feng Jiang, Abdallah Benzine
The aim of removing parts from image or detected parts of the object is to force the model to detect the other features.
no code implementations • CVPR 2020 • Abdallah Benzine, Florian Chabot, Bertrand Luvison, Quoc Cuong Pham, Catherine Achard
It does not need any post-processing to regroup joints since the network predicts a full 3D pose for each bounding box and allows the pose estimation of a possibly large number of people at low resolution.
no code implementations • 8 Nov 2019 • Abdallah Benzine, Bertrand Luvison, Quoc Cuong Pham, Catherine Achard
In this paper, we propose a new single shot method for multi-person 3D human pose estimation in complex images.
3D Multi-Person Human Pose Estimation 3D Multi-Person Pose Estimation +1