Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jesse Murray"'
Publikováno v:
Journal of Eye Movement Research, Vol 15, Iss 5 (2022)
Games and puzzles provide a valuable context for examining human problem- solving behavior. We recorded and analyzed the sequence of letters viewed by the participants of our study while they were solving anagram puzzles. The goal was to examine and
Externí odkaz:
https://doaj.org/article/b4499ece104f4977a7fd93f6ddc7988b
Publikováno v:
IROS
We present a method to reconstruct the 3D trajectory of an airborne robotic system only from videos recorded with cameras that are unsynchronized, may feature rolling shutter distortion, and whose viewpoints are unknown. Our approach enables robust a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d7390118cfbd1eaaaa20b84f72c76bc9
http://arxiv.org/abs/2003.04784
http://arxiv.org/abs/2003.04784
Publikováno v:
IGARSS
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium
We propose a Convolutional Neural Network (CNN), which encodes local scale invariance and equivariance in a multiresolution, multi-sensor image classification task. We show that the locally scale invariant model achieves results that are in line with
Publikováno v:
2019 IEEE International Geoscience & Remote Sensing Symposium
IGARSS
2019 IEEE International Geoscience & Remote Sensing Symposium. IEEE
IGARSS
2019 IEEE International Geoscience & Remote Sensing Symposium. IEEE
Remote sensing images carry wide amounts of information beyond land cover or land use. Images contain visual and structural information that can be queried to obtain high level information about specific image content or relational dependencies betwe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1cb640f18ea3ae6856d7a3c33104ecf8
https://research.wur.nl/en/publications/visual-question-answering-from-remote-sensing-images
https://research.wur.nl/en/publications/visual-question-answering-from-remote-sensing-images
Autor:
Jesse Murray
Publikováno v:
Springer Proceedings in Mathematics & Statistics ISBN: 9783030861322
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d0f5d1ec4252ef1d2ec35c17336d3718
https://doi.org/10.1007/978-3-030-86133-9_6
https://doi.org/10.1007/978-3-030-86133-9_6
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing 58 (2020) 12
IEEE Transactions on Geoscience and Remote Sensing, 58(12), 8555-8566
IEEE Transactions on Geoscience and Remote Sensing, 58(12), 8555-8566
This paper introduces the task of visual question answering for remote sensing data (RSVQA). Remote sensing images contain a wealth of information which can be useful for a wide range of tasks including land cover classification, object counting or d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::346163f050d41051ecd94f4f4e6a627a
https://infoscience.epfl.ch/record/281902
https://infoscience.epfl.ch/record/281902