Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Francois Rameau"'
Publikováno v:
International Journal of Computer Vision. 130:2265-2285
Publikováno v:
International Journal of Computer Vision. 130:384-404
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198113
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7b19ef6f2e8a7d58695c5473a74231d
https://doi.org/10.1007/978-3-031-19812-0_36
https://doi.org/10.1007/978-3-031-19812-0_36
Publikováno v:
IEEE/ACM Transactions on Audio, Speech, and Language Processing. 27:1713-1724
Most artificial neural network models for question-answering rely on complex attention mechanisms. These techniques demonstrate high performance on existing datasets; however, they are limited in their ability to capture natural language variability,
Autor:
Jean Oh, Byeong-Uk Lee, In So Kweon, Hae-Gon Jeon, Francois Rameau, Dong-Geol Choi, Martial Hebert, Sunghoon Im
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence.
With the increasing social demands of disaster response, methods of visual observation for rescue and safety have become increasingly important. However, because of the shortage of datasets for disaster scenarios, there has been little progress in co
Publikováno v:
ICRA
This paper presents a stereo object matching method that exploits both 2D contextual information from images as well as 3D object-level information. Unlike existing stereo matching methods that exclusively focus on the pixel-level correspondence betw
Publikováno v:
CVPR Workshops
We propose a novel framework to generate clean video frames from a single motion-blurred image. While a broad range of literature focuses on recovering a single image from a blurred image, in this work, we tackle a more challenging task i.e. video re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8fe95d24235a2db9d39dd338ecb9858
http://arxiv.org/abs/2104.09134
http://arxiv.org/abs/2104.09134
In most of computer vision applications, motion blur is regarded as an undesirable artifact. However, it has been shown that motion blur in an image may have practical interests in fundamental computer vision problems. In this work, we propose a nove
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a001693cbd4d1355fb6a2e7fa055c34
Autor:
In So Kweon, Francois Rameau
Publikováno v:
Computer Vision ISBN: 9783030634155
Computer Vision ISBN: 9783030032432
Computer Vision
Computer Vision ISBN: 9783030032432
Computer Vision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de394bb76abe7f1e0f5d480124761dbe
https://doi.org/10.1007/978-3-030-63416-2_848
https://doi.org/10.1007/978-3-030-63416-2_848
Publikováno v:
Computer Vision and Image Understanding. 217:103353