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20172021
most citedHuman Pose Regression by Combining Indirect Part Detection and Contextual Information

241 citations · 467 across the 5 of their papers we have counts for

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9 papers · 1 filter

cs.CV2021

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…

cs.CV2020

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…

cs.CV20202 cited

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…

cs.CV202070 cited

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…

cs.CV2019154 cited

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…

cs.CV2018

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…