Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Aditya Jonnalagadda"'
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-14 (2021)
Lauren Welbourne et al. use functional magnetic resonance imaging to investigate the neural dynamics linked to how humans process object size in the environment. After showing participants a series of images with appropriately-sized or misscaled obje
Externí odkaz:
https://doaj.org/article/a6f9c72831a4455fa442f5bdf62d0307
Publikováno v:
Communications Biology, Vol 4, Iss 1, Pp 1-14 (2021)
Communications Biology
Communications Biology
To optimize visual search, humans attend to objects with the expected size of the sought target relative to its surrounding scene (object-scene scale consistency). We investigate how the human brain responds to variations in object-scene scale consis
Autor:
Aditya Jonnalagadda, Miguel Eckstein
Publikováno v:
Journal of Vision. 22:4440
Game publishers and anti-cheat companies have been unsuccessful in blocking cheating in online gaming. We propose a novel, vision-based approach that captures the final state of the frame buffer and detects illicit overlays. To this aim, we train and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e87da28f29a4bfc9c959bce0453e5198
http://arxiv.org/abs/2103.10031
http://arxiv.org/abs/2103.10031
Autor:
Aditya, Jonnalagadda, Miguel A, Lago, Bruno, Barufaldi, Predrag R, Bakic, Craig K, Abbey, Andrew D, Maidment, Miguel P, Eckstein
Publikováno v:
Proc SPIE Int Soc Opt Eng
With the advent of powerful convolutional neural networks (CNNs), recent studies have extended early applications of neural networks to imaging tasks thus making CNNs a potential new tool for assessing medical image quality. Here, we compare a CNN to
Autor:
Bruno Barufaldi, Andrew D. A. Maidment, Predrag R. Bakic, Craig K. Abbey, Aditya Jonnalagadda, Miguel P. Eckstein, Miguel A. Lago
Publikováno v:
Medical Imaging: Image Perception, Observer Performance, and Technology Assessment
With the advent of powerful convolutional neural networks (CNNs), recent studies have extended early applications of neural networks to imaging tasks thus making CNNs a potential new tool for assessing medical image quality. Here, we compare a CNN to
Autor:
Craig K. Abbey, Brian S. Englander, Miguel P. Eckstein, Susan P. Weinstein, Winifred K. Leung, Andrew D. A. Maidment, Predrag R. Bakic, Miguel A. Lago, Aditya Jonnalagadda, Bruno Barufaldi
Publikováno v:
Current Biology. 31:1099-1106.e5
Summary Advances in 3D imaging technology are transforming how radiologists search for cancer 1 , 2 and how security officers scrutinize baggage for dangerous objects. 3 These new 3D technologies often improve search over 2D images 4 , 5 but vastly i
Publikováno v:
Journal of Vision. 18:3