Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Mohammad Saeed Rad"'
Autor:
Roser Viñals, Pierre Vassilakos, Mohammad Saeed Rad, Manuela Undurraga, Patrick Petignat, Jean-Philippe Thiran
Publikováno v:
Diagnostics, Vol 11, Iss 4, p 716 (2021)
Cervical cancer remains a major public health concern in developing countries due to financial and human resource constraints. Visual inspection with acetic acid (VIA) of the cervix was widely promoted and routinely used as a low-cost primary screeni
Externí odkaz:
https://doaj.org/article/ae096ec243764d0e80128bc218f3d9a3
Autor:
Claudiu Musat, Hazim Kemal Ekenel, Jean-Philippe Thiran, Max Basler, Mohammad Saeed Rad, Urs-Viktor Marti, Behzad Bozorgtabar
Publikováno v:
Neurocomputing. 398:304-313
Despite significant progress toward super resolving more realistic images by deeper convolutional neural networks (CNNs), reconstructing fine and natural textures still remains a challenging problem. Recent works on single image super resolution (SIS
Autor:
Devavrat Tomar, Behzad Bozorgtabar, Manana Lortkipanidze Guillaume Vray, Mohammad Saeed Rad, Jean-Philippe Thiran
Publikováno v:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Publikováno v:
Computer Vision and Image Understanding. 185:1-11
Attribute guided face image synthesis aims to manipulate attributes on a face image. Most existing methods for image-to-image translation can either perform a fixed translation between any two image domains using a single attribute or require trainin
Autor:
Jean-Philippe Thiran, Manuela Undurraga, Pierre Vassilakos, Patrick Petignat, Mohammad Saeed Rad, Roser Viñals
Publikováno v:
Diagnostics
Volume 11
Issue 4
Diagnostics, Vol 11, Iss 716, p 716 (2021)
Volume 11
Issue 4
Diagnostics, Vol 11, Iss 716, p 716 (2021)
Cervical cancer remains a major public health concern in developing countries due to financial and human resource constraints. Visual inspection with acetic acid (VIA) of the cervix was widely promoted and routinely used as a low-cost primary screeni
Autor:
Hazim Kemal Ekenel, Jean-Philippe Thiran, Mohammad Saeed Rad, Behzad Bozorgtabar, Thomas Yu, Claudiu Musat
Publikováno v:
WACV
Super-resolution (SR) has traditionally been based on pairs of high-resolution images (HR) and their low-resolution (LR) counterparts obtained artificially with bicubic downsampling. However, in real-world SR, there is a large variety of realistic im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef8f0c1fdd5ff30bc4a930a8491cf6c8
http://arxiv.org/abs/2007.03053
http://arxiv.org/abs/2007.03053
Autor:
Hazim Kemal Ekenel, Jean-Philippe Thiran, Urs-Viktor Marti, Mohammad Saeed Rad, Max Basler, Behzad Bozorgtabar
Publikováno v:
ICCV
By benefiting from perceptual losses, recent studies have improved significantly the performance of the super-resolution task, where a high-resolution image is resolved from its low-resolution counterpart. Although such objective functions generate n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d360ecc490b041dadd2288802e90a7ae
Autor:
Hazim Kemal Ekenel, Nabil Ouerhani, Jean-Philippe Thiran, Francois Tieche, Andreas von Kaenel, Mohammad Saeed Rad, Andre Droux
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319683447
ICVS
ICVS
Littering quantification is an important step for improving cleanliness of cities. When human interpretation is too cumbersome or in some cases impossible, an objective index of cleanliness could reduce the littering by awareness actions. In this pap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::591187bf5565cc1a5682c913084e9ea3
https://doi.org/10.1007/978-3-319-68345-4_18
https://doi.org/10.1007/978-3-319-68345-4_18
Publikováno v:
FG
Cross-domain synthesizing realistic faces to learn deep models has attracted increasing attention for facial expression analysis as it helps to improve the performance of expression recognition accuracy despite having small number of real training im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::24987164b2615bcd99064c9068d76bdc
https://infoscience.epfl.ch/record/265269
https://infoscience.epfl.ch/record/265269
Publikováno v:
ICCV
Despite well-established baselines, learning of scene depth and ego-motion from monocular video remains an ongoing challenge, specifically when handling scaling ambiguity issues and depth inconsistencies in image sequences. Much prior work uses eithe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3505ac41c0a2c4596958410e7b450847
https://infoscience.epfl.ch/record/279073
https://infoscience.epfl.ch/record/279073