Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Yuri Owechko"'
Publikováno v:
Machine Learning with Applications, Vol 8, Iss , Pp 100278- (2022)
Zero-shot learning (ZSL) is a framework to classify images that belong to unseen visual classes using their semantic descriptions about the unseen classes. We develop a new ZSL algorithm based on coupled dictionary learning. The core idea is to enfor
Externí odkaz:
https://doaj.org/article/e8f36072d3e3444685a1da582bfdc367
Publikováno v:
Inverse Problems & Imaging. 11:177-202
We describe a foveated compressive sensing approach for image analysis applications that utilizes knowledge of the task to be performed to reduce the number of required sensor measurements and sensor size, weight, and power (SWAP) compared to convent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f5e8854ccae5a7d8739f550ad5d411d
https://doi.org/10.3934/ipi.2017009
https://doi.org/10.3934/ipi.2017009
Publikováno v:
CVPR
We address zero-shot learning using a new manifold alignment framework based on a localized multi-scale transform on graphs. Our inference approach includes a smoothness criterion for a function mapping nodes on a graph (visual representation) onto a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::880af915637107d0a8c88c3d681531dc
https://doi.org/10.1109/cvpr.2017.562
https://doi.org/10.1109/cvpr.2017.562
Publikováno v:
SPIE Proceedings.
Multi-waveband infrared (IR) sensors capture more spectral information of atmospheric particles and may provide better penetration thru dust under dynamically changing conditions. Therefore, enhancing the visibility of multi-waveband infrared images
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb66fd0221ea01f8280a444038cc2317
https://doi.org/10.1117/12.2262600
https://doi.org/10.1117/12.2262600
Publikováno v:
SPIE Proceedings.
LIDAR devices for on -vehicle use need a wide field of view and good fidelity. For instance, a LIDAR for avoidance of landing collisions by a helicopter needs to see a wide field of view and show reasonable de tails of the area. The same is true for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b611cdbd546a99ec9ebb14fe9ae08a0c
https://doi.org/10.1117/12.2078348
https://doi.org/10.1117/12.2078348
Autor:
Dmitriy Korchev, Yuri Owechko
Publikováno v:
Laser Radar Technology and Applications XIX; and Atmospheric Propagation XI.
Protection of installations in hostile environments is a very critical part of military and civilian operations that requires a significant amount of security personnel to be deployed around the clock. Any electronic change detection system for detec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::46050f0c46ac4d37d43317d7695a3817
https://doi.org/10.1117/12.2050926
https://doi.org/10.1117/12.2050926
Publikováno v:
CVPR Workshops
We propose a method for fusing a LIDAR point cloud to camera data in real time, which will also backfill the myriad of data holes LIDAR creates. This is done in a way that also leverages the images features to weight how point clouds are filled. Mult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c312d126812e0e4dbbd3edfc68a318e
https://doi.org/10.1109/cvprw.2014.117
https://doi.org/10.1109/cvprw.2014.117
Publikováno v:
CVPR Workshops
This paper describes a method for object (e.g., vehicles, pedestrians) detection and recognition using a combination of 2D and 3D sensor data. Detection of individual data modalities is carried out in parallel, and then combined using a fusion scheme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3005d469775bca63de4b6d3a25bf6c10
https://doi.org/10.1109/cvprw.2014.119
https://doi.org/10.1109/cvprw.2014.119
Publikováno v:
SPIE Proceedings.
We describe a foveated compressive sensing approach for image analysis applications that utilizes knowledge of the task to be performed to reduce the number of required measurements compared to conventional Nyquist sampling and compressive sensing ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09954c67847f5536b3f316a105a6bbf3
https://doi.org/10.1117/12.2024594
https://doi.org/10.1117/12.2024594
Publikováno v:
IEEE Transactions on Signal Processing. 44:2882-2886
We introduce a family of time-frequency (TF) distributions with generalized marginals, i.e., beyond the time-domain and the frequency-domain marginals, in the sense that the projections of a TF distribution along one or more angles are equal to the m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a88dca6fe3029fedd97c5d117ebdbcb4
https://doi.org/10.1109/78.542448
https://doi.org/10.1109/78.542448