Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Stephan J. Garbin"'
Autor:
Immo Andreas Schuetz, Stephan J. Garbin, Yiru Shen, Sachin S. Talathi, Robert Dale Cavin, Gregory Hughes, Oleg V. Komogortsev
Publikováno v:
ETRA
We present a large scale data set of eye-images captured using a virtual-reality (VR) head mounted display mounted with two synchronized eye-facing cameras at a frame rate of 200 Hz under controlled illumination. This dataset is compiled from video c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee42b637c38f9c90094bda3450876f9d
https://doi.org/10.1145/3379155.3391317
https://doi.org/10.1145/3379155.3391317
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030586034
ECCV (28)
ECCV (28)
Generating photorealistic images of human faces at scale remains a prohibitively difficult task using computer graphics approaches. This is because these require the simulation of light to be photorealistic, which in turn requires physically accurate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8bfd956f7e3f83fb8524e5bef7baf343
https://doi.org/10.1007/978-3-030-58604-1_14
https://doi.org/10.1007/978-3-030-58604-1_14
Autor:
Virginia Estellers, Marek Kowalski, Matthew Johnson, Jamie Shotton, Stephan J. Garbin, Tadas Baltrusaitis
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030586201
ECCV (11)
ECCV (11)
Our ability to sample realistic natural images, particularly faces, has advanced by leaps and bounds in recent years, yet our ability to exert fine-tuned control over the generative process has lagged behind. If this new technology is to find practic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eaad1af9c357bd1fcb3c9ef494ceea23
https://doi.org/10.1007/978-3-030-58621-8_18
https://doi.org/10.1007/978-3-030-58621-8_18
Publikováno v:
ICCV
Deep feature spaces have the capacity to encode complex transformations of their input data. However, understanding the relative feature-space relationship between two transformed encoded images is difficult. For instance, what is the relative featur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65e738dd2f4731afbdb92a9f54a35340
https://doi.org/10.1109/iccv.2017.611
https://doi.org/10.1109/iccv.2017.611
Publikováno v:
CVPR
Translating or rotating an input image should not affect the results of many computer vision tasks. Convolutional neural networks (CNNs) are already translation equivariant: input image translations produce proportionate feature map translations. Thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30c51110ae1f6d5062b366dc2f4f3ccd
Publikováno v:
WWW (Companion Volume)
Traditional public health surveillance systems would benefit from integration with knowledge created by new situation-aware realtime signals from social media, online searches, mobile/sensor networks and citizens' participatory surveillance systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b54a1bb23304bfa8b266963c2cd5c77e
https://doi.org/10.1145/2567948.2579276
https://doi.org/10.1145/2567948.2579276