39 citations · 137 across the 9 of their papers we have counts for
9 papers
Survey of 3D Human Body Pose and Shape Estimation Methods for Contemporary Dance Applications
Darshan Venkatrayappa, Alain Tremeau, Damien Muselet +1
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 vir…
Rule-Based Classification of Hyperspectral Imaging Data
Songuel Polat, Alain Tremeau, Frank Boochs
Due to its high spatial and spectral information content, hyperspectral imaging opens up new possibilities for a better understanding of data and scenes in a wide variety of applic…
Deep Learning for Material recognition: most recent advances and open challenges
Alain Tremeau, Sixiang Xu, Damien Muselet
Recognizing material from color images is still a challenging problem today. While deep neural networks provide very good results on object recognition and has been the topic of a…
Deep Spectral Reflectance and Illuminant Estimation from Self-Interreflections
Rada Deeb, Joost Van De Weijer, Damien Muselet +2
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-shap…
Spectral reflectance estimation from one RGB image using self-interreflections in a concave object
Rada Deeb, Damien Muselet, Mathieu Hebert +1
Light interreflections occurring in a concave object generate a color gradient which is characteristic of the object's spectral reflectance. In this paper, we use this property in…
Residual Conv-Deconv Grid Network for Semantic Segmentation
Damien Fourure, Rémi Emonet, Elisa Fromont +3
This paper presents GridNet, a new Convolutional Neural Network (CNN) architecture for semantic image segmentation (full scene labelling). Classical neural networks are implemented…