Zobrazeno 1 - 10 of 31 pro vyhledávání: '"Marc-André Carbonneau"'
3
Artist guided generation of video game production quality face textures
Autor: Donya Ghafourzadeh, Marc-André Carbonneau, Andre Beauchamp, Christian Murphy, Sudhir P. Mudur, Daniel Holden
Publikováno v: Computers & Graphics. 98:268-279
We develop a high resolution face texture generation system which uses artist provided appearance controls as the conditions for a generative network. Artists are able to control various elements in the generated textures, such as the skin, eye, lip,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2812e057fe1da6cfdaec986090b6ed51
https://doi.org/10.1016/j.cag.2021.06.004
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4
Appearance Controlled Face Texture Generation for Video Game Characters
Autor: Marc-André Carbonneau, Christian Murphy, Andre Beauchamp, Daniel Holden, Sudhir P. Mudur, Donya Ghafourzadeh
Publikováno v: MIG
Manually creating realistic, digital human heads is a difficult and time-consuming task for artists. While 3D scanners and photogrammetry allow for quick and automatic reconstruction of heads, finding an actor who fits specific character appearance d
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::85c14e7833214d88a84a96db1d211d08
https://doi.org/10.1145/3424636.3426898
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5
Energy disaggregation using variational autoencoders
Autor: Ghyslain Gagnon, Mohamed Cheriet, Antoine Langevin, Marc-André Carbonneau
Publikováno v: Energy and Buildings. 254:111623
Non-intrusive load monitoring (NILM) is a technique that uses a single sensor to measure the total power consumption of a building. Using an energy disaggregation method, the consumption of individual appliances can be estimated from the aggregate me
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5274b2f00a4c1b15858044ebe2672c2
https://doi.org/10.1016/j.enbuild.2021.111623
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6
Robust multiple-instance learning ensembles using random subspace instance selection
Autor: Marc-André Carbonneau, Ghyslain Gagnon, Eric Granger, Alexandre J. Raymond
Publikováno v: Pattern Recognition. 58:83-99
Many real-world pattern recognition problems can be modeled using multiple-instance learning (MIL), where instances are grouped into bags, and each bag is assigned a label. State-of-the-art MIL methods provide a high level of performance when strong
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d6e4a4ad956ed93a383b8585bc1e5b5d
https://doi.org/10.1016/j.patcog.2016.03.035
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7
Multiple instance learning: A survey of problem characteristics and applications
Autor: Ghyslain Gagnon, Marc-André Carbonneau, Veronika Cheplygina, Eric Granger
Publikováno v: Pattern Recognition, 77, 329-353. Elsevier Ltd.
Pattern Recognition, 77, 329-353. Elsevier
Multiple instance learning (MIL) is a form of weakly supervised learning where training instances are arranged in sets, called bags, and a label is provided for the entire bag. This formulation is gaining interest because it naturally fits various pr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::772cbd92810260ea8985fde564983488
https://pure.eur.nl/en/publications/7335aa52-69b3-4321-a96b-d4f4c93ab67a
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10
Crowdsourced Emphysema Assessment
Autor: Orting, SN, Cheplygina, Veronika, Thomsen, LH, Wille, MMW, de Bruijne, Marleen, M. Jorge Cardoso, Eric Granger, Luc Duong, Marc-André Carbonneau, Shadi Albarqouni, Gustavo Carneiro, Tal Arbel, Su-Lin Lee, Veronika Cheplygina, Simone Balocco, Diana Mateus, Guillaume Zahnd, Lena Maier-Hein, Stefanie Demirci
Publikováno v: Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis : 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings (Lecture Notes in Computer Science, vol. 10552), 126-135
STARTPAGE=126;ENDPAGE=135;TITLE=Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis : 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings (Lecture Notes in Computer Science, vol. 10552)
Lecture Notes in Computer Science ISBN: 9783319675336
CVII-STENT/LABELS@MICCAI
Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis-6th Joint International Workshops, CVII-STENT 2017 and 2nd International Workshop, LABELS 2017 Held in Conjunction with MICCAI 2017, Proceedings: 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings, 126-135
STARTPAGE=126;ENDPAGE=135;TITLE=Intravascular Imaging and Computer Assisted Stenting, and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis-6th Joint International Workshops, CVII-STENT 2017 and 2nd International Workshop, LABELS 2017 Held in Conjunction with MICCAI 2017, Proceedings
Classification of emphysema patterns is believed to be useful for improved diagnosis and prognosis of chronic obstructive pulmonary disease. Emphysema patterns can be assessed visually on lung CT scans. Visual assessment is a complex and time-consumi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f4de6b0820e7208a39bdfee55653911
https://doi.org/10.1007/978-3-319-67534-3_14
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