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المؤلفون: Patrick Peluse, Denis Tome, Hernan Badino, Lourdes Agapito, Gerard Pons-Moll, Thiemo Alldieck, Fernando De la Torre
المصدر: IEEE Transactions on Pattern Analysis and Machine Intelligence
مصطلحات موضوعية: FOS: Computer and information sciences, Ground truth, Monocular, Body shape, Computer science, Generalization, business.industry, Computer Vision and Pattern Recognition (cs.CV), Applied Mathematics, Headset, Perspective (graphical), Computer Science - Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, Computational Theory and Mathematics, Artificial Intelligence, 0202 electrical engineering, electronic engineering, information engineering, Benchmark (computing), 020201 artificial intelligence & image processing, Computer vision, Computer Vision and Pattern Recognition, Artificial intelligence, business, Pose, Software
وصف الملف: application/pdf
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المؤلفون: Salvador Medina, Denis Tome, Carsten Stoll, Mark Tiede, Kevin Munhall, Alex Hauptmann, Iain Matthews
المصدر: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::48d8444ff7fb7c3277900cd657b33f32
https://doi.org/10.1109/cvpr52688.2022.01976 -
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المؤلفون: Patrick Peluse, Hernan Badino, Denis Tome, Lourdes Agapito
المصدر: ICCV
مصطلحات موضوعية: FOS: Computer and information sciences, Ground truth, Monocular, Computer science, business.industry, Computer Vision and Pattern Recognition (cs.CV), Perspective (graphical), ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Computer Science - Computer Vision and Pattern Recognition, 020207 software engineering, 02 engineering and technology, Virtual reality, Face (geometry), 0202 electrical engineering, electronic engineering, information engineering, Benchmark (computing), 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business, Pose
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1885ee720cce29efdefb8a8973c1b203
http://arxiv.org/abs/1907.10045 -
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المؤلفون: Denis Tome, Chris Russell, Matteo Toso, Lourdes Agapito
المصدر: 3DV
مصطلحات موضوعية: FOS: Computer and information sciences, business.industry, Computer science, Computer Vision and Pattern Recognition (cs.CV), Novelty, Computer Science - Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, Iterative reconstruction, Solid modeling, 010501 environmental sciences, 01 natural sciences, Motion capture, Image (mathematics), Multi stage, Single camera, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, Artificial intelligence, business, Pose, 0105 earth and related environmental sciences
وصف الملف: text
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a142c20f98c23eb180e79fd1c0c8985
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المؤلفون: Denis Tome, Chris Russell, Lourdes Agapito
المصدر: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
(Proceedings) 30th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). (pp. pp. 5689-5698). IEEE: Honolulu, HI, USA. (2017)
Surrey Research Insight
UCL Discovery
arXiv.org e-Print Archiveمصطلحات موضوعية: FOS: Computer and information sciences, business.industry, Computer science, Computer Vision and Pattern Recognition (cs.CV), Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Theory & Methods, Engineering, Electrical & Electronic, Computer Science, Engineering, SHAPE, Process (computing), Computer Science - Computer Vision and Pattern Recognition, 020207 software engineering, 02 engineering and technology, 3D pose estimation, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Computer vision, State (computer science), Artificial intelligence, Single image, Joint (audio engineering), business, Pose
وصف الملف: text
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المؤلفون: Emanuele Plebani, Danilo Pau, Luca Bondi, Stefano Tubaro, Luca Baroffio, Denis Tome
المصدر: ICCE-Berlin
مصطلحات موضوعية: FOS: Computer and information sciences, Computational complexity theory, Artificial neural network, Computer science, Computer Vision and Pattern Recognition (cs.CV), Pipeline (computing), Pedestrian detection, Feature extraction, Detector, Computer Science - Computer Vision and Pattern Recognition, 02 engineering and technology, 010501 environmental sciences, 01 natural sciences, Convolutional neural network, Power (physics), Computer engineering, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, 0105 earth and related environmental sciences
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::225f441f6c7c6a3b099406e25239e979
http://arxiv.org/abs/1609.02500 -
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المؤلفون: Luca Bondi, Stefano Tubaro, Federico Monti, Marco Tagliasacchi, Denis Tome, Luca Baroffio
مصطلحات موضوعية: FOS: Computer and information sciences, Optimization, Computational complexity theory, Computer science, Computer Vision and Pattern Recognition (cs.CV), Pipeline (computing), Pedestrian detection, Computer Science - Computer Vision and Pattern Recognition, 02 engineering and technology, Machine learning, computer.software_genre, Convolutional neural network, Margin (machine learning), 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Convolutional Neural Networks, Deep learning, Software, Signal Processing, 1707, Contextual image classification, business.industry, 020207 software engineering, Object detection, 020201 artificial intelligence & image processing, Computer Vision and Pattern Recognition, Artificial intelligence, business, computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1da72783ee3ba363c82d451706aeb942
http://hdl.handle.net/11311/1029011