Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Nataliya Shapovalova"'
Publikováno v:
IEEE Access, Vol 9, Pp 91160-91174 (2021)
This paper presents a novel model family that we call SUPERVEGAN, for the problem of video enhancement for low bitrate streams by simultaneous video super resolution and removal of compression artifacts from low bitrates (e.g. 250Kbps). Our strategy
Externí odkaz:
https://doaj.org/article/cb3de2b8a0424a9d870a6dfff4fadc0b
Autor:
Greg Mori, Nataliya Shapovalova
Publikováno v:
ICIP
We present a novel algorithm for image classification that is targeted to capture class variability. A single model is often not sufficient to represent a category since categories can vary from large semantic classes to fine-grained sub-categories.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f5825bb04088e6e3f0cc0ea114608520
https://doi.org/10.1109/icip.2015.7350766
https://doi.org/10.1109/icip.2015.7350766
Publikováno v:
Computer Vision – ECCV 2012 ISBN: 9783642337857
ECCV (7)
ECCV (7)
We present a novel algorithm for weakly supervised action classification in videos. We assume we are given training videos annotated only with action class labels. We learn a model that can classify unseen test videos, as well as localize a region of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2bea610d92e7ebcb7ad5a1162bc5242
https://doi.org/10.1007/978-3-642-33786-4_5
https://doi.org/10.1007/978-3-642-33786-4_5
Publikováno v:
Computer Analysis of Human Behavior ISBN: 9780857299932
Computer Analysis of Human Behavior
Computer Analysis of Human Behavior
Human behavior is contextualized and understanding the scene of an action is crucial for giving proper semantics to behavior. In this chapter we present a novel approach for scene understanding. The emphasis of this work is on the particular case of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db248cac78afb370a9576d54481b9d17
https://doi.org/10.1007/978-0-85729-994-9_7
https://doi.org/10.1007/978-0-85729-994-9_7
Publikováno v:
Pattern Recognition and Image Analysis ISBN: 9783642212567
IbPRIA
IbPRIA
This paper is focused on the automatic recognition of human events in static images. Popular techniques use knowledge of the human pose for inferring the action, and the most recent approaches tend to combine pose information with either knowledge of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::162cd1cba8a8da125d3deccb5f70cfdb
https://doi.org/10.1007/978-3-642-21257-4_8
https://doi.org/10.1007/978-3-642-21257-4_8