Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Bryan Seybold"'
Autor:
Bo Hu, Bryan Seybold, Shan Yang, Avneesh Sud, Yi Liu, Karla Barron, Paulyn Cha, Marcelo Cosino, Ellie Karlsson, Janessa Kite, Ganesh Kolumam, Joseph Preciado, José Zavala-Solorio, Chunlian Zhang, Xiaomeng Zhang, Martin Voorbach, Ann E. Tovcimak, J. Graham Ruby, David A. Ross
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract We present a method to infer the 3D pose of mice, including the limbs and feet, from monocular videos. Many human clinical conditions and their corresponding animal models result in abnormal motion, and accurately measuring 3D motion at scal
Externí odkaz:
https://doaj.org/article/350620002527430b8c561c1bd71e152b
Autor:
David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, Bryan Seybold, John F. Canny
While there have been significant gains in the field of automated video description, the generalization performance of automated description models to novel domains remains a major barrier to using these systems in the real world. Most visual descrip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::629762964bb88bcec78e78321cd18c46
Autor:
Arsha Nagrani, Paul Hongsuck Seo, Bryan Seybold, Anja Hauth, Santiago Manen, Chen Sun, Cordelia Schmid
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197802
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0bb7ee13a8eaed8e24a85d8c3bdc6f4
https://doi.org/10.1007/978-3-031-19781-9_24
https://doi.org/10.1007/978-3-031-19781-9_24
Publikováno v:
CVPR
We propose a method for unsupervised video object segmentation by transferring the knowledge encapsulated in image-based instance embedding networks. The instance embedding network produces an embedding vector for each pixel that enables identifying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb0c1d5b901dc345be8d044b859e4a20
http://arxiv.org/abs/1801.00908
http://arxiv.org/abs/1801.00908
Autor:
David A. Ross, Yu-Wei Chao, Jia Deng, Bryan Seybold, Rahul Sukthankar, Sudheendra Vijayanarasimhan
Publikováno v:
CVPR
We propose TAL-Net, an improved approach to temporal action localization in video that is inspired by the Faster R-CNN object detection framework. TAL-Net addresses three key shortcomings of existing approaches: (1) we improve receptive field alignme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08cb8600221c1cbc243c89bcc2383e9f
Publikováno v:
Computer Vision – ECCV 2018 ISBN: 9783030012182
ECCV (3)
ECCV (3)
In this work, we study the unsupervised video object segmentation problem where moving objects are segmented without prior knowledge of these objects. First, we propose a motion-based bilateral network to estimate the background based on the motion p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3fc109d0735733557cdf163630df069
https://doi.org/10.1007/978-3-030-01219-9_13
https://doi.org/10.1007/978-3-030-01219-9_13
Autor:
R. Channing Moore, Aren Jansen, Sourish Chaudhuri, Kevin W. Wilson, Manoj Plakal, Shawn Hershey, Rif A. Saurous, Daniel P. W. Ellis, Devin Platt, Malcolm Slaney, Bryan Seybold, Ron Weiss, Jort F. Gemmeke
Publikováno v:
ICASSP
Convolutional Neural Networks (CNNs) have proven very effective in image classification and show promise for audio. We use various CNN architectures to classify the soundtracks of a dataset of 70M training videos (5.24 million hours) with 30,871 vide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82f4931fb9e5b087ff1934c8093ff651