Zobrazeno 1 - 10
of 804
pro vyhledávání: '"Tremeau, A."'
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. Recent solutions have focused on three types of inputs: i
Externí odkaz:
http://arxiv.org/abs/2401.02383
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 applications. An essential part of this process of understanding is the clas
Externí odkaz:
http://arxiv.org/abs/2107.10638
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 huge amount of papers in the last decade, their adaptation to material
Externí odkaz:
http://arxiv.org/abs/2012.07495
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. Interreflections happening in a concave surface lead to gr
Externí odkaz:
http://arxiv.org/abs/1812.03559
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 order to estimate the spectral reflectance of matte, uniformly colored
Externí odkaz:
http://arxiv.org/abs/1803.01595
Publikováno v:
In Computer Vision and Image Understanding July 2022 220
Publikováno v:
In Journal of Information Security and Applications May 2022 66
Autor:
Fourure, Damien, Emonet, Rémi, Fromont, Elisa, Muselet, Damien, Tremeau, Alain, Wolf, Christian
This paper presents GridNet, a new Convolutional Neural Network (CNN) architecture for semantic image segmentation (full scene labelling). Classical neural networks are implemented as one stream from the input to the output with subsampling operators
Externí odkaz:
http://arxiv.org/abs/1707.07958
Autor:
Marc T Valitutto, Ohnmar Aung, Kyaw Yan Naing Tun, Megan E Vodzak, Dawn Zimmerman, Jennifer H Yu, Ye Tun Win, Min Thein Maw, Wai Zin Thein, Htay Htay Win, Jasjeet Dhanota, Victoria Ontiveros, Brett Smith, Alexandre Tremeau-Bravard, Tracey Goldstein, Christine K Johnson, Suzan Murray, Jonna Mazet
Publikováno v:
PLoS ONE, Vol 18, Iss 12, p e0295490 (2023)
[This corrects the article DOI: 10.1371/journal.pone.0230802.].
Externí odkaz:
https://doaj.org/article/2fb5d6d871f34f28b40364d50f812d8e
In recent years, consumer Unmanned Aerial Vehicles have become very popular, everyone can buy and fly a drone without previous experience, which raises concern in regards to regulations and public safety. In this paper, we present a novel approach to
Externí odkaz:
http://arxiv.org/abs/1602.08141