39 citations · 44 across the 4 of their papers we have counts for
4 papers
Deep Miner: A Deep and Multi-branch Network which Mines Rich and Diverse Features for Person Re-identification
Abdallah Benzine, Mohamed El Amine Seddik, Julien Desmarais
Most recent person re-identification approaches are based on the use of deep convolutional neural networks (CNNs). These networks, although effective in multiple tasks such as clas…
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…
Hierarchical Complementary Learning for Weakly Supervised Object Localization
Sabrina Narimene Benassou, Wuzhen Shi, Feng Jiang +1
Weakly supervised object localization (WSOL) is a challenging problem which aims to localize objects with only image-level labels. Due to the lack of ground truth bounding boxes, c…
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…