Zobrazeno 1 - 10
of 755
pro vyhledávání: '"reconnaissance de formes"'
Publikováno v:
Gait & Posture. 94:138-143
Background. Marker-less systems based on digital video cameras and deep learning for gait analysis could have a deep impact in clinical routine. A recently developed system has shown promising results in terms of joint center position but has not bee
Autor:
Wafa Skalli, Marc Khalifé, Mathis Renaudin, Saman Vafadar, Amine Hamza, Aurore Bonnet-Lebrun, Laurent Gajny
Publikováno v:
Gait and Posture
Gait and Posture, Elsevier, 2021, 86, pp.70-76. ⟨10.1016/j.gaitpost.2021.03.003⟩
Gait & Posture
Gait & Posture, Elsevier, 2021, 86, pp.70-76. ⟨10.1016/j.gaitpost.2021.03.003⟩
Gait and Posture, Elsevier, 2021, 86, pp.70-76. ⟨10.1016/j.gaitpost.2021.03.003⟩
Gait & Posture
Gait & Posture, Elsevier, 2021, 86, pp.70-76. ⟨10.1016/j.gaitpost.2021.03.003⟩
International audience; Background: The deep learning-based human pose estimation methods, which can estimate joint centers position, have achieved promising results on the publicly available human pose datasets (e.g., Human3.6 M). However, these dat
Autor:
Jacquelin, Nicolas
In top-level sport, where all participants have exceptional physical and technical skills, as well as deep theoretical knowledge of their field, the gap between the best results is minimal. The winner is determined by small details that may seem insi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::ffedfae4bea01e2e4fa667432ceb3d45
https://hal.science/tel-03927207
https://hal.science/tel-03927207
Autor:
Klokov, Roman
Publikováno v:
Modeling and Simulation. Université Grenoble Alpes [2020-..], 2021. English. ⟨NNT : 2021GRALM060⟩
Application of deep learning to geometric 3D data poses various challenges for researchers. The complex nature of geometric 3D data allows to represent it in different forms: occupancy grids, point clouds, meshes, implicit functions, etc. Each of tho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::211a048ddaa9e832d7da5f7de3390c90
https://theses.hal.science/tel-04062587
https://theses.hal.science/tel-04062587
Publikováno v:
ORASIS 2021-18ème Journées francophones des jeunes chercheurs en vision par ordinateur
ORASIS 2021-18ème Journées francophones des jeunes chercheurs en vision par ordinateur, Sep 2021, Saint-Ferréol, France
HAL
ORASIS 2021-18èmes Journées francophones des jeunes chercheurs en vision par ordinateur
ORASIS 2021-18èmes Journées francophones des jeunes chercheurs en vision par ordinateur, Institut de Recherche en Informatique de Toulouse (IRIT); Institut national polytechnique de Toulouse (INP), Sep 2021, Saint-Ferréol, France
ORASIS 2021-18èmes Journées francophones des jeunes chercheurs en vision par ordinateur, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France
ORASIS 2021-18ème Journées francophones des jeunes chercheurs en vision par ordinateur, Sep 2021, Saint-Ferréol, France
HAL
ORASIS 2021-18èmes Journées francophones des jeunes chercheurs en vision par ordinateur
ORASIS 2021-18èmes Journées francophones des jeunes chercheurs en vision par ordinateur, Institut de Recherche en Informatique de Toulouse (IRIT); Institut national polytechnique de Toulouse (INP), Sep 2021, Saint-Ferréol, France
ORASIS 2021-18èmes Journées francophones des jeunes chercheurs en vision par ordinateur, Centre National de la Recherche Scientifique [CNRS], Sep 2021, Saint Ferréol, France
International audience; This paper presents a method to combine point processes and convolutional neural networks for detecting small objects in remotely sensed images. In such a context, when objects are small and their density is high, we use prior
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5737a7ed05b5b504bdacb4bdbd2432ee
https://hal.inria.fr/hal-03282620/document
https://hal.inria.fr/hal-03282620/document
Autor:
Fouefack, Jean-Rassaire
Publikováno v:
Signal and Image Processing. Ecole nationale supérieure Mines-Télécom Atlantique; University of Cape Town. Faculty of Health Sciences, 2021. English. ⟨NNT : 2021IMTA0240⟩
Statistical modelling has become a ubiquitous tool for analysing of morphological variation of bone structures in medical images. For radiological images, the shape, relative pose between the bone structures and the intensity distribution are key fea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7858376fbc7a6fb49bcaefd924c5fe36
https://tel.archives-ouvertes.fr/tel-03506272/document
https://tel.archives-ouvertes.fr/tel-03506272/document
Autor:
Andrea Piemonte, Livio De Luca, Gabriella Caroti, Philippe Veron, Valeria Croce, Kevin Jacquot
Publikováno v:
Remote Sensing
Remote Sensing, MDPI, 2021, 13 (3), pp.461. ⟨10.3390/rs13030461⟩
Remote Sensing; Volume 13; Issue 3; Pages: 461
Remote Sensing, Vol 13, Iss 461, p 461 (2021)
Remote Sensing, MDPI, 2021, 13 (3), pp.461. ⟨10.3390/rs13030461⟩
Remote Sensing; Volume 13; Issue 3; Pages: 461
Remote Sensing, Vol 13, Iss 461, p 461 (2021)
International audience; This work presents a semi-automatic approach to the 3D reconstruction of Heritage-Building Information Models from point clouds based on machine learning techniques. The use of digital information systems leveraging on three-d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::927cb129af4e3015685172c1f9482435
https://hal.archives-ouvertes.fr/hal-03128295/file/LISPEN_RS_2021_VERON.pdf
https://hal.archives-ouvertes.fr/hal-03128295/file/LISPEN_RS_2021_VERON.pdf
Autor:
Sirugue, Léa
Publikováno v:
Bio-Informatique, Biologie Systémique [q-bio.QM]. HESAM Université, 2020. Français. ⟨NNT : 2020HESAC042⟩
Protein interactions play a crucial role in the living processes such as cell communication, immunity, cell growth, proliferation and death. These interactions occur through the surface of proteins and the disruption of their interactions is the star
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2592::58d1c8b1eb9bff0ee4ddeeb2f0064887
https://tel.archives-ouvertes.fr/tel-03184807
https://tel.archives-ouvertes.fr/tel-03184807
Autor:
Sirugue, Léa
Publikováno v:
Bio-Informatique, Biologie Systémique [q-bio.QM]. HESAM Université, 2020. Français. ⟨NNT : 2020HESAC042⟩
Protein interactions play a crucial role in the living processes such as cell communication, immunity, cell growth, proliferation and death. These interactions occur through the surface of proteins and the disruption of their interactions is the star
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::58d1c8b1eb9bff0ee4ddeeb2f0064887
https://tel.archives-ouvertes.fr/tel-03184807
https://tel.archives-ouvertes.fr/tel-03184807
Autor:
Zhu, Ruifeng
Publikováno v:
Other [cs.OH]. Université Bourgogne Franche-Comté; Universidad del País Vasco. Facultad de ciencias, 2020. English. ⟨NNT : 2020UBFCA015⟩
Addi. Archivo Digital para la Docencia y la Investigación
instname
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Addi. Archivo Digital para la Docencia y la Investigación
instname
Addi: Archivo Digital para la Docencia y la Investigación
Universidad del País Vasco
Graph-based Manifold Learning algorithms are regarded as a powerful technique for feature extraction and dimensionality reduction in Pattern Recogniton, Computer Vision and Machine Learning fields. These algorithms utilize sample information containe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0d9095662dbea9fbdccfb25dfd7c617c
http://hdl.handle.net/10810/47603
http://hdl.handle.net/10810/47603