Zobrazeno 1 - 10
of 175
pro vyhledávání: '"Vision Artificielle"'
Autor:
Lamoureux-Lévesque, Rémi
Le présent document fait la présentation du travail réalisé au cours d'un projet de maitrise avec l'intention d'obtenir un diplôme à la maitrise en génie électrique.Le projet consistait à développer un système capable d'identifier le type
Externí odkaz:
https://hdl.handle.net/20.500.11794/142703
Autor:
Gabeur, Valentin
Publikováno v:
Computer science. Université Grenoble Alpes [2020-..], 2022. English. ⟨NNT : 2022GRALM027⟩
With the ever-increasing consumption of audio-visual media on the internet, video understanding has become an important problem in order to provide users with the right content. Compared to more traditional media, the video signal is inherently multi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::6cfdd42cd6c9f20083bc9246f6bbc571
https://theses.hal.science/tel-04012915/file/GABEUR_2022_archivage.pdf
https://theses.hal.science/tel-04012915/file/GABEUR_2022_archivage.pdf
Apparence des matériaux, Vision artificielle, Inspection qualité, Reflectance Transformation Imaging
Autor:
Nurit, Marvin
Mastering the visual perception of the surfaces of manufactured products is a central issue for industry. However, in industry, the quality of surfaces is often assessed by human inspectors. Only a few specific cases use an instrumental or photometri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3711::70aa28fe869e57ff9febfc7017a4ab76
https://theses.hal.science/tel-03705736
https://theses.hal.science/tel-03705736
Autor:
Nurit, Marvin
Mastering the visual perception of the surfaces of manufactured products is a central issue for industry. However, in industry, the quality of surfaces is often assessed by human inspectors. Only a few specific cases use an instrumental or photometri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3711::e446875ac81967005496ccece5e2dce1
https://theses.hal.science/tel-04085359
https://theses.hal.science/tel-04085359
Autor:
Hocquet, Guillaume
Publikováno v:
Artificial Intelligence [cs.AI]. Université Paris-Saclay, 2021. English. ⟨NNT : 2021UPAST070⟩
We are interested in the problem of continual learning of artificial neural networks in the case where the data are available for only one class at a time. To address the problem of catastrophic forgetting that restrain the learning performances in t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4dad975f95899c70cb216f9ce8fdac6b
https://tel.archives-ouvertes.fr/tel-03296752
https://tel.archives-ouvertes.fr/tel-03296752
Autor:
Fleuret, Julien
La vision par ordinateur est un domaine qui consiste à extraire ou identifier une ou plusieurs informations à partir d'une ou plusieurs images dans le but soit d'automatiser une tache, soit de fournir une aide à la décision. Avec l'augmentation d
Externí odkaz:
https://hdl.handle.net/20.500.11794/70927
Autor:
Chuquimia, Orlando
Publikováno v:
Imagerie médicale. Sorbonne Université, 2019. Français
Imagerie médicale. Sorbonne Université, 2019. Français. ⟨NNT : 2019SORUS192⟩
Imagerie médicale. Sorbonne Université, 2019. Français. ⟨NNT : 2019SORUS192⟩
CCR is the second highest cause of death by cancer worldwide with 880,792 deaths in 2018 and a mortality rate of 47.6%. 95% of CCR cases begin with the presence of a growth on the inner lining of the colon or the rectum, called a polyp. Multiple type
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7fc745f348c2e554870c51b5d27b6961
https://tel.archives-ouvertes.fr/tel-02494557
https://tel.archives-ouvertes.fr/tel-02494557
Autor:
LOING, Vianney
Publikováno v:
Génie civil. Université Paris-Est, 2019. Français. ⟨NNT : 2019PESC1015⟩
197 p
197 p
The context of this thesis work is the development of robotics in the construction industry. We explore the robotic construction of complex masonry structures with the help of computer vision. Construction without the use of formwork is an important
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6d9af05f7aafa5734edd5ff3c2e6d6e5
https://pastel.archives-ouvertes.fr/tel-02385841/document
https://pastel.archives-ouvertes.fr/tel-02385841/document
Autor:
Pitteri, Giorgia
Publikováno v:
Computer Vision and Pattern Recognition [cs.CV]. Université de Bordeaux, 2020. English. ⟨NNT : 2020BORD0202⟩
3D object detection and pose estimation are of primary importance for tasks such as robotic manipulation, augmented reality and they have been the focus of intense research in recent years. Methods relying on depth data acquired by depth cameras are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::8ac241c26f9862950988072d66c16bfe
https://tel.archives-ouvertes.fr/tel-03136325/document
https://tel.archives-ouvertes.fr/tel-03136325/document
Autor:
Miech, Antoine
Publikováno v:
Computer Vision and Pattern Recognition [cs.CV]. PSL Research University, 2020. English
Computer Vision and Pattern Recognition [cs.CV]. Université Paris sciences et lettres, 2020. English. ⟨NNT : 2020UPSLE059⟩
Computer Vision and Pattern Recognition [cs.CV]. PSL Research University, 2020. English. ⟨NNT : ⟩
Computer Vision and Pattern Recognition [cs.CV]. Université Paris sciences et lettres, 2020. English. ⟨NNT : 2020UPSLE059⟩
Computer Vision and Pattern Recognition [cs.CV]. PSL Research University, 2020. English. ⟨NNT : ⟩
The goal of this thesis is to build and train machine learning models capable of understanding the content of videos. Current video understanding approaches mainly rely on large-scale manually annotated video datasets for training. However, collectin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::78f4bdb76ee4297241e7bdbfa5ef4426
https://hal.inria.fr/tel-03084216/file/main.pdf
https://hal.inria.fr/tel-03084216/file/main.pdf