Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Paul Tunison"'
Publikováno v:
Applied AI Letters, Vol 2, Iss 4, Pp n/a-n/a (2021)
Abstract Recent advances in artificial intelligence (AI), driven mainly by deep neural networks, have yielded remarkable progress in fields, such as computer vision, natural language processing, and reinforcement learning. Despite these successes, th
Externí odkaz:
https://doaj.org/article/7816b486f3e949498d635fec866c8b99
Autor:
Steven D. Schwaitzberg, James W. Fleshman, Katerina Wells, Deepak Roy Chittajallu, Paul Tunison, Ganesh Sankaranarayanan, Bo Dong, Andinet Enquobahrie, Lora Cavuoto, Roddy Collins
Publikováno v:
ISBI
In this paper, we present a human-in-the-loop explainable AI (XAI) system for content based image retrieval (CBIR) of video frames similar to a query image from minimally invasive surgery (MIS) videos for surgical education. It extracts semantic desc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3600c734978e27b307ffe3d918f81cf
https://doi.org/10.1109/isbi.2019.8759428
https://doi.org/10.1109/isbi.2019.8759428
Autor:
James W. Fleshman, Deepak Roy Chittajallu, Paul Tunison, Steven G. Leeds, Samantha Horvath, Andinet Enquobahrie, Arslan Basharat, Katerina Wells, Ganesh Sankaranarayanan
Publikováno v:
Medical Imaging: Image-Guided Procedures
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4b9d6db83fb0f47fc7b6b29d2785379
https://doi.org/10.1117/12.2509985
https://doi.org/10.1117/12.2509985
Publikováno v:
WACV
We introduce a self-contained, mobile surveillance system designed to remotely detect and track people in real time, at long ranges, and over a wide field of view in cluttered urban and natural settings. The system is integrated with an unmanned grou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff958c356a682b5b12d01c5fecb85f23
https://doi.org/10.1109/wacv.2019.00207
https://doi.org/10.1109/wacv.2019.00207
Publikováno v:
ICPR
Tattoos have been increasingly used as a discriminative soft biometric for people identification, such as criminal and victim identification in forensics investigation and law enforcement. However, automatic detection of tattoo images and accurate lo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb4b1d593ebf15784d1194ca3a9916ce
https://doi.org/10.1109/icpr.2016.7900103
https://doi.org/10.1109/icpr.2016.7900103
Autor:
Phil Hanselman, Paul Tunison, Yifeng Gao, Jessica Lin, Carolyn Penstein Rosé, Huzefa Rangwala, Qingzhe Li, Ranjeev Mittu, Peter Shargo, Matthew William Turek, Joshua Robinson, Stephen Thomas
Publikováno v:
Next-Generation Analyst IV.
Intelligence analysts and military decision makers are faced with an onslaught of information. From the now ubiquitous presence of intelligence, surveillance, and reconnaissance (ISR) platforms providing large volumes of sensor data, to vast amounts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b35b911736008415ce0b3ae3af317fbb
https://doi.org/10.1117/12.2231152
https://doi.org/10.1117/12.2231152
Publikováno v:
WACV
Structure-from-motion (SfM) is a well-studied problem in the computer vision field and is of particular interest for aerial imaging applications like mapping, terrain modeling, crop monitoring, etc. With the current rapid growth in the commercial UAV
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b55c02cbdc8587ca29dbc0e510c35a4
https://doi.org/10.1109/wacv.2016.7477659
https://doi.org/10.1109/wacv.2016.7477659
Autor:
Chuck Atkins, David Stoup, Anthony Hoogs, Matthew William Turek, Yiliang Xu, Arslan Basharat, Keith Fieldhouse, Paul Tunison
Publikováno v:
WACV
We present a real-time, full-frame, multi-target Wide Area Motion Imagery (WAMI) tracking system that utilizes distributed processing to handle high data rates while maintaining high track quality. The proposed architecture processes the WAMI data as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e06bc527bfbb89d5db5260c0c24672d0
https://doi.org/10.1109/wacv.2014.6836016
https://doi.org/10.1109/wacv.2014.6836016