Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Sagie Benaim"'
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250682
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73d6553b670262aec0e46d94c1851cbb
https://doi.org/10.1007/978-3-031-25069-9_38
https://doi.org/10.1007/978-3-031-25069-9_38
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197772
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::567143e419ad2a653b69990918bd7a3b
https://doi.org/10.1007/978-3-031-19778-9_40
https://doi.org/10.1007/978-3-031-19778-9_40
Publikováno v:
2021 IEEE International Conference on Image Processing (ICIP).
We consider the task of upscaling a low resolution thumbnail image of a person, to a higher resolution image, which preserves the person's identity and other attributes. Since the thumbnail image is of low resolution, many higher resolution versions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3f9c4c878ba16abb15111c9e7d0b801
https://doi.org/10.1109/icip42928.2021.9506290
https://doi.org/10.1109/icip42928.2021.9506290
Publikováno v:
CVPR
Recent work has shown that convolutional neural network classifiers overly rely on texture at the expense of shape cues. We make a similar but different distinction between shape and local image cues, on the one hand, and global image statistics, on
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d0ee1ae065af2c052354cd5225e8d981
http://arxiv.org/abs/2010.05785
http://arxiv.org/abs/2010.05785
Autor:
Tali Dekel, Sagie Benaim, Ariel Ephrat, Michal Irani, Inbar Mosseri, Oran Lang, William T. Freeman, Michael Rubinstein
Publikováno v:
CVPR
We wish to automatically predict the "speediness" of moving objects in videos---whether they move faster, at, or slower than their "natural" speed. The core component in our approach is SpeedNet---a novel deep network trained to detect if a video is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::884b1a11f1fe8fdd58d7c3bc167dc7e5
We present two new metrics for evaluating generative models in the class-conditional image generation setting. These metrics are obtained by generalizing the two most popular unconditional metrics: the Inception Score (IS) and the Fre'chet Inception
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ae4af6d78bd5126d39769d11f6a7426
Publikováno v:
ICCV
We present a method for recovering the shared content between two visual domains as well as the content that is unique to each domain. This allows us to map from one domain to the other, in a way in which the content that is specific for the first do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bd60d3fe7595821a3616ad352c0b705
https://doi.org/10.1109/iccv.2019.00354
https://doi.org/10.1109/iccv.2019.00354
Publikováno v:
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ICASSP
ICASSP
We study the problem of semi-supervised singing voice separation, in which the training data contains a set of samples of mixed music (singing and instrumental) and an unmatched set of instrumental music. Our solution employs a single mapping functio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0146c350d8dcd47e7fadb6e78988383f
Publikováno v:
Computer Vision – ECCV 2018-15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part V
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2018
Computer Vision – ECCV 2018 ISBN: 9783030012274
ECCV (5)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2018
Computer Vision – ECCV 2018 ISBN: 9783030012274
ECCV (5)
While in supervised learning, the validation error is an unbiased estimator of the generalization (test) error and complexity-based generalization bounds are abundant, no such bounds exist for learning a mapping in an unsupervised way. As a result, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea080eace89c166e91178b9909ff893a
Publikováno v:
Computer Graphics Forum. Oct2023, Vol. 42 Issue 7, p1-9. 9p.