Search Results for author: Damien Muselet

Found 9 papers, 1 papers with code

Survey of 3D Human Body Pose and Shape Estimation Methods for Contemporary Dance Applications

no code implementations4 Jan 2024 Darshan Venkatrayappa, Alain Tremeau, Damien Muselet, Philippe Colantoni

3D human body shape and pose estimation from RGB images is a challenging problem with potential applications in augmented/virtual reality, healthcare and fitness technology and virtual retail.

Pose Estimation

Deep Spectral Reflectance and Illuminant Estimation from Self-Interreflections

no code implementations9 Dec 2018 Rada Deeb, Joost Van de Weijer, Damien Muselet, Mathieu Hebert, Alain Tremeau

In this work, we propose a CNN-based approach to estimate the spectral reflectance of a surface and the spectral power distribution of the light from a single RGB image of a V-shaped surface.

Spectral reflectance estimation from one RGB image using self-interreflections in a concave object

no code implementations5 Mar 2018 Rada Deeb, Damien Muselet, Mathieu Hebert, Alain Tremeau

Light interreflections occurring in a concave object generate a color gradient which is characteristic of the object's spectral reflectance.

Residual Conv-Deconv Grid Network for Semantic Segmentation

1 code implementation25 Jul 2017 Damien Fourure, Rémi Emonet, Elisa Fromont, Damien Muselet, Alain Tremeau, Christian Wolf

However, for semantic image segmentation, where the task consists in providing a semantic class to each pixel of an image, feature maps reduction is harmful because it leads to a resolution loss in the output prediction.

Image Segmentation Segmentation +1

Learning to Rank Based on Subsequences

no code implementations ICCV 2015 Basura Fernando, Efstratios Gavves, Damien Muselet, Tinne Tuytelaars

We present a supervised learning to rank algorithm that effectively orders images by exploiting the structure in image sequences.

Learning-To-Rank

MidRank: Learning to rank based on subsequences

no code implementations29 Nov 2015 Basura Fernando, Efstratios Gavves, Damien Muselet, Tinne Tuytelaars

We present a supervised learning to rank algorithm that effectively orders images by exploiting the structure in image sequences.

Learning-To-Rank

Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation

no code implementations CVPR 2015 Rahaf Aljundi, Remi Emonet, Damien Muselet, Marc Sebban

Domain adaptation (DA) has gained a lot of success in the recent years in computer vision to deal with situations where the learning process has to transfer knowledge from a source to a target domain.

Unsupervised Domain Adaptation

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