Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ariel Ephrat"'
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
Publikováno v:
ICASSP
Many speech segments in movies are re-recorded in a studio during postproduction, to compensate for poor sound quality as recorded on location. Manual alignment of the newly-recorded speech with the original lip movements is a tedious task. We presen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea74efb98f39cac847b994c77b30d273
http://arxiv.org/abs/1808.06250
http://arxiv.org/abs/1808.06250
Autor:
Avinatan Hassidim, Michael Rubinstein, Kevin W. Wilson, Ariel Ephrat, Tali Dekel, William T. Freeman, Inbar Mosseri, Oran Lang
We present a joint audio-visual model for isolating a single speech signal from a mixture of sounds such as other speakers and background noise. Solving this task using only audio as input is extremely challenging and does not provide an association
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6272803bd390203f56b5a3a49660736e
http://arxiv.org/abs/1804.03619
http://arxiv.org/abs/1804.03619
Publikováno v:
ICASSP
Isolating the voice of a specific person while filtering out other voices or background noises is challenging when video is shot in noisy environments. We propose audio-visual methods to isolate the voice of a single speaker and eliminate unrelated s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd0c941458c7d2b10c0a7251f565e463
http://arxiv.org/abs/1708.06767
http://arxiv.org/abs/1708.06767
Publikováno v:
ICCV Workshops
Speechreading is the task of inferring phonetic information from visually observed articulatory facial movements, and is a notoriously difficult task for humans to perform. In this paper we present an end-to-end model based on a convolutional neural
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de4763f65aeda9deef88d7e3254d05aa
http://arxiv.org/abs/1708.01204
http://arxiv.org/abs/1708.01204
Publikováno v:
WACV
While egocentric video is becoming increasingly popular, browsing it is very difficult. In this paper we present a compact 3D Convolutional Neural Network (CNN) architecture for long-term activity recognition in egocentric videos. Recognizing long-te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87a2b8a1dd1c51f347cefb8e6a114cd0
https://doi.org/10.1109/wacv.2016.7477708
https://doi.org/10.1109/wacv.2016.7477708
Autor:
Leo Joskowicz, Refael Vivanti, Ariel Ephrat, Jacob Sosna, Naama Lev-Cohain, Onur A. Karaaslan
Publikováno v:
Patch-Based Techniques in Medical Imaging ISBN: 9783319281933
Patch-MI@MICCAI
Patch-MI@MICCAI
We present a new, fully automatic algorithm for liver tumors segmentation in follow-up CT studies. The inputs are a baseline CT scan and a delineation of the tumors in it and a follow-up scan; the outputs are the tumors delineations in the follow-up
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2376336b90753fb5dc717f284ebde66f
https://doi.org/10.1007/978-3-319-28194-0_7
https://doi.org/10.1007/978-3-319-28194-0_7