Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Kristin J. Dana"'
Autor:
Md Rashed Rahman, T. V. Sethuraman, Marco Gruteser, Kristin J. Dana, Shubham Jain, Narayan B. Mandayam, Ashwin Ashok
Publikováno v:
IEEE Access, Vol 10, Pp 24368-24382 (2022)
Visual identification of objects using cameras requires precise detection, localization, and recognition of the objects in the field-of-view. The visual identification problem is very challenging when the objects look identical and features between d
Externí odkaz:
https://doaj.org/article/27dccb22117d4f44a61f9f31ceca87e1
Autor:
Kristin J. Dana, Marco Gruteser, Hongyu Li, Ashwin Ashok, Shubham Jain, Abrar Alali, Bin Cheng, Mohamed Ibrahim, Hansi Liu, Hongsheng Lu
Publikováno v:
MobiSys
We demonstrate an application of finding target persons on a surveillance video. Each visually detected participant is tagged with a smartphone ID and the target person with the query ID is highlighted. This work is motivated by the fact that establi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5804a6ed42d9697e2170db9a853597be
https://doi.org/10.1145/3458864.3466904
https://doi.org/10.1145/3458864.3466904
Publikováno v:
CVPR
The sky exhibits a unique spatial polarization pattern by scattering the unpolarized sun light. Just like insects use this unique angular pattern to navigate, we use it to map pixels to directions on the sky. That is, we show that the unique polariza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ecaad57ef63713e7c7d2c01b3659f821
https://doi.org/10.1109/cvpr46437.2021.01459
https://doi.org/10.1109/cvpr46437.2021.01459
Publikováno v:
IET Radar, Sonar & Navigation. 13:1092-1100
Radar systems emit a time-varying signal and measure the response of a radar-reflecting surface. In the case of narrowband, monostatic radar signal domain, all spatial information is projected into a radar cross-section (RCS) scalar. The authors addr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6439e9b99b0f95b3af1fee810549c52f
https://doi.org/10.1049/iet-rsn.2018.5453
https://doi.org/10.1049/iet-rsn.2018.5453
Publikováno v:
WACV
Machine vision for precision agriculture has attracted considerable research interest in recent years. The goal of this paper is to develop an end-to-end cranberry health monitoring system to enable and support real time cranberry over-heating assess
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f3ac8844cb95b12b7b26900833bd246
http://arxiv.org/abs/2011.04064
http://arxiv.org/abs/2011.04064
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(3)
Computational surface modeling that underlies material recognition has transitioned from reflectance modeling using in-lab controlled radiometric measurements to image-based representations based on internet-mined single-view images captured in the s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8f915e475c261df7b3b84bcd4734d0a
https://pubmed.ncbi.nlm.nih.gov/32946386
https://pubmed.ncbi.nlm.nih.gov/32946386
Publikováno v:
CVPR Workshops
Precision agriculture has become a key factor for increasing crop yields by providing essential information to decision makers. In this work, we present a deep learning method for simultaneous segmentation and counting of cranberries to aid in yield
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9464cee58c57bf84bd75e9d643066d8d
https://doi.org/10.1109/cvprw50498.2020.00033
https://doi.org/10.1109/cvprw50498.2020.00033
Publikováno v:
IGARSS
Moving cameras provide multiple intensity measurements per pixel, yet often semantic segmentation, material recognition, and object recognition do not utilize this information. With basic alignment over several frames of a moving camera sequence, a d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a6623281ef0246daa484a0e0129826d
Autor:
Kristin J. Dana, Matthew Purri
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585822
ECCV (27)
ECCV (27)
The connection between visual input and tactile sensing is critical for object manipulation tasks such as grasping and pushing. In this work, we introduce the challenging task of estimating a set of tactile physical properties from visual information
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7bd13fb02c2737124f254162d2cd6628
https://doi.org/10.1007/978-3-030-58583-9_1
https://doi.org/10.1007/978-3-030-58583-9_1
Autor:
Faith Johnson, Kristin J. Dana
Publikováno v:
CVPR Workshops
We consider the challenge of automated steering angle prediction for self driving cars using egocentric road images. In this work, we explore the use of feudal networks, used in hierarchical reinforcement learning (HRL), to devise a vehicle agent to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c93d5f56c1d35f64e9582b60eb15eab