Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Ramin Zabih"'
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2003, Iss 2, Pp 151-159 (2003)
Organizing images into semantic categories can be extremely useful for content-based image retrieval and image annotation. Grouping images into semantic classes is a difficult problem, however. Image classification attempts to solve this hard problem
Externí odkaz:
https://doaj.org/article/1e06dec14b7d45688ba2ebd440d99556
Autor:
Varun Jampani, Daniel Vlasic, Deqing Sun, Michael Krainin, Ce Liu, Ramin Zabih, Huiwen Chang, William T. Freeman, Charles Herrmann
Publikováno v:
CVPR
Synthetic datasets play a critical role in pre-training CNN models for optical flow, but they are painstaking to generate and hard to adapt to new applications. To automate the process, we present AutoFlow, a simple and effective method to render tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7225d8ad69cbda7ef3db94de769c24b1
https://doi.org/10.1109/cvpr46437.2021.00996
https://doi.org/10.1109/cvpr46437.2021.00996
Publikováno v:
CVPR
Image extrapolation extends an input image beyond the originally-captured field of view. Existing methods struggle to extrapolate images with salient objects in the foreground or are limited to very specific objects such as humans, but tend to work w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5bbcc2c2db5a6d715116fb98c91d628c
https://doi.org/10.1109/cvpr46437.2021.00234
https://doi.org/10.1109/cvpr46437.2021.00234
Autor:
Richard Strong Bowen, Qiurui He, Charles Herrmann, Jonathan T. Barron, Ramin Zabih, Neal Wadhwa, Rahul Garg
Publikováno v:
CVPR
Autofocus is an important task for digital cameras, yet current approaches often exhibit poor performance. We propose a learning-based approach to this problem, and provide a realistic dataset of sufficient size for effective learning. Our dataset is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8163425b6e7bc0f3d26173d26257d2e0
http://arxiv.org/abs/2004.12260
http://arxiv.org/abs/2004.12260
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585822
ECCV (27)
ECCV (27)
Important applications such as mobile computing require reducing the computational costs of neural network inference. Ideally, applications would specify their preferred tradeoff between accuracy and speed, and the network would optimize this end-to-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8c9feb0853d70b5e6121c0a7df72e50
https://doi.org/10.1007/978-3-030-58583-9_15
https://doi.org/10.1007/978-3-030-58583-9_15
Autor:
Ramin Zabih, Licia K. Gaber-Baylis, Xian Wu, Gregory P. Giambrone, Rasa Zarnegar, Peter M. Fleischut, Cheguevara Afaneh, Brendan M. Finnerty, Akshay U. Bhat, Alfons Pomp
Publikováno v:
International Journal of Surgery. 40:169-175
Identifying risk factors for conversion from laparoscopic to open appendectomy could select patients who may benefit from primary open appendectomy. We aimed to develop a predictive scoring model for conversion from laparoscopic to open based on pre-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d61af8c76a6d9de057854790abcbc807
https://doi.org/10.1016/j.ijsu.2017.03.016
https://doi.org/10.1016/j.ijsu.2017.03.016
Autor:
Licia K. Gaber-Baylis, Gregory P. Giambrone, Ramin Zabih, Xian Wu, Nasser K. Altorki, Brendon M. Stiles, Peter M. Fleischut, Akshay U. Bhat
Publikováno v:
The Journal of Thoracic and Cardiovascular Surgery. 151:982-989
We sought to determine the rate of postoperative supraventricular tachycardia (POSVT) in patients undergoing pulmonary lobectomy, and its association with adverse outcomes.Using the State Inpatient Database, from the Healthcare Cost and Utilization P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f49e6d5a2011f9abfa659c976200ea6a
https://doi.org/10.1016/j.jtcvs.2015.11.057
https://doi.org/10.1016/j.jtcvs.2015.11.057
Autor:
Charles Herrmann, Ramin Zabih, Richard Strong Bowen, Emil Keyder, Michael Krainin, Chen Wang, Ce Liu
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012151
ECCV (2)
ECCV (2)
Panorama creation is one of the most widely deployed techniques in computer vision. In addition to industry applications such as Google Street View, it is also used by millions of consumers in smartphones and other cameras. Traditionally, the problem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ce53f089edff2926e9944ba1965e5a3
https://doi.org/10.1007/978-3-030-01216-8_4
https://doi.org/10.1007/978-3-030-01216-8_4
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012182
ECCV (3)
ECCV (3)
Image stitching is typically decomposed into three phases: registration, which aligns the source images with a common target image; seam finding, which determines for each target pixel the source image it should come from; and blending, which smooths
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70ed857ad227cbd978fb1f65a9debba1
https://doi.org/10.1007/978-3-030-01219-9_50
https://doi.org/10.1007/978-3-030-01219-9_50
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 37:1387-1395
Higher-order Markov Random Fields, which can capture important properties of natural images, have become increasingly important in computer vision. While graph cuts work well for first-order MRF’s, until recently they have rarely been effective for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9c70c6775ca30942dcd82a2e46fe7ef
https://doi.org/10.1109/tpami.2014.2382109
https://doi.org/10.1109/tpami.2014.2382109