Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Mathieu Garon"'
Autor:
Mathieu Garon, Baudouin Forgeot d’Arc, Marie M. Lavallée, Evelyn V. Estay, Miriam H. Beauchamp
Publikováno v:
Frontiers in Human Neuroscience, Vol 12 (2018)
Eye-tracking studies suggest that visual encoding is important for social processes such as socio-moral reasoning. Alterations to the visual encoding of faces, for example, have been linked to the social phenotype of autism spectrum disorders (ASDs)
Externí odkaz:
https://doaj.org/article/f5d90dc13c7c47d2bcc2c5583ad096c9
Publikováno v:
PLoS ONE, Vol 13, Iss 7, p e0201099 (2018)
As the first step of social information processing, visual encoding underlies the interpretation of social cues. Faces, in particular, convey a large amount of affective information, which can be subsequently used in the planning and production of ad
Externí odkaz:
https://doaj.org/article/ce7af9037f8d47b3a0cfdd6664378a3c
Autor:
Adam Fahmi, Martin Caouette, Mathieu Garon, Alexandra Ribon-Demars, Sarah Pellerin, Laurie Dubois, Marie-Ève Lamontagne, Simon Beaulieu-Bonneau
Publikováno v:
Archives of Physical Medicine and Rehabilitation. 103:e62-e63
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d492af1b020f02183611efd26657328
https://doi.org/10.1016/j.apmr.2022.08.589
https://doi.org/10.1016/j.apmr.2022.08.589
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200670
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a0924eaa6cbef07ea380f5cdf9c67e72
https://doi.org/10.1007/978-3-031-20068-7_39
https://doi.org/10.1007/978-3-031-20068-7_39
Publikováno v:
WACV
Much of the focus in the object detection literature has been on the problem of identifying the bounding box of a particular class of object in an image. Yet, in contexts such as robotics and augmented reality, it is often necessary to find a specifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4ae2e46d7f2678e979d900ceb42e8a15
https://doi.org/10.1109/wacv48630.2021.00155
https://doi.org/10.1109/wacv48630.2021.00155
Publikováno v:
ICIP
Computer vision datasets containing multiple modalities such as color, depth, and thermal properties are now commonly accessible and useful for solving a wide array of challenging tasks. However, deploying multi-sensor heads is not possible in many s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ac54b1b8fd5ca52269362c186c9415f
https://doi.org/10.1109/icip40778.2020.9190858
https://doi.org/10.1109/icip40778.2020.9190858
Autor:
Mathieu Garon, Jean-François Lalonde
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 23:2410-2418
We present a temporal 6-DOF tracking method which leverages deep learning to achieve state-of-the-art performance on challenging datasets of real world capture. Our method is both more accurate and more robust to occlusions than the existing best per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4413ab2caf2dc1ee81f90afb6480724d
https://doi.org/10.1109/tvcg.2017.2734599
https://doi.org/10.1109/tvcg.2017.2734599
Publikováno v:
CVPR
We propose a real-time method to estimate spatiallyvarying indoor lighting from a single RGB image. Given an image and a 2D location in that image, our CNN estimates a 5th order spherical harmonic representation of the lighting at the given location
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b36895ae15d3cc4dc2b4150bc9bba59f
http://arxiv.org/abs/1906.03799
http://arxiv.org/abs/1906.03799
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012519
ECCV (11)
ECCV (11)
We present a challenging and realistic novel dataset for evaluating 6-DOF object tracking algorithms. Existing datasets show serious limitations—notably, unrealistic synthetic data, or real data with large fiducial markers—preventing the communit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40edf17047b267a620aa5dc3ffebc941
https://doi.org/10.1007/978-3-030-01252-6_36
https://doi.org/10.1007/978-3-030-01252-6_36
Autor:
Mathieu Garon, Vladimir S. Fonov, Sherif Karama, Alan C. Evans, Louis Collins, Jennyfer Ansado, Lubomir Alexandrov, Miriam H. Beauchamp
Publikováno v:
European Journal of Neuroscience. 42:1675-1684
Most of the studies conducted on the development of the corpus callosum (CC) have been limited to a relatively simple assessment of callosal area, providing an estimation of the size of the CC in two dimensions rather than its actual measurement. The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42395468f400dcd558c81f2c79e501db
https://doi.org/10.1111/ejn.12869
https://doi.org/10.1111/ejn.12869