241 citations · 467 across the 5 of their papers we have counts for
9 papers · 1 filter
Learnable Triangulation for Deep Learning-based 3D Reconstruction of Objects of Arbitrary Topology from Single RGB Images
Tarek Ben Charrada, Hedi Tabia, Aladine Chetouani +1
We propose a novel deep reinforcement learning-based approach for 3D object reconstruction from monocular images. Prior works that use mesh representations are template based. Thus…
Kernelized dense layers for facial expression recognition
M. Amine Mahmoudi, Aladine Chetouani, Fatma Boufera +1
Fully connected layer is an essential component of Convolutional Neural Networks (CNNs), which demonstrates its efficiency in computer vision tasks. The CNN process usually starts…
SSP-Net: Scalable Sequential Pyramid Networks for Real-Time 3D Human Pose Regression
Diogo Luvizon, Hedi Tabia, David Picard
In this paper we propose a highly scalable convolutional neural network, end-to-end trainable, for real-time 3D human pose regression from still RGB images. We call this approach t…
Deepzzle: Solving Visual Jigsaw Puzzles with Deep Learning andShortest Path Optimization
Marie-Morgane Paumard, David Picard, Hedi Tabia
We tackle the image reassembly problem with wide space between the fragments, in such a way that the patterns and colors continuity is mostly unusable. The spacing emulates the ero…
Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition
Diogo C Luvizon, Hedi Tabia, David Picard
Human pose estimation and action recognition are related tasks since both problems are strongly dependent on the human body representation and analysis. Nonetheless, most recent me…
Image Reassembly Combining Deep Learning and Shortest Path Problem
M. -M. Paumard, D. Picard, H. Tabia
This paper addresses the problem of reassembling images from disjointed fragments. More specifically, given an unordered set of fragments, we aim at reassembling one or several pos…