Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Cosmas Heiss"'
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 9 (2023)
Microexpressions are fast and spatially small facial expressions that are difficult to detect. Therefore, motion magnification techniques, which aim at amplifying and hence revealing subtle motion in videos, appear useful for handling such expression
Externí odkaz:
https://doaj.org/article/747917a92819423e853474826526e239
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery
Purpose The quantitative detection of failure modes is important for making deep neural networks reliable and usable at scale. We consider three examples for common failure modes in image reconstruction and demonstrate the potential of uncertainty qu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcacc7a40113dd5070505a29fb650906
https://doi.org/10.1007/s11548-021-02482-2
https://doi.org/10.1007/s11548-021-02482-2
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
Video motion magnification methods are motion visualization techniques that aim to magnify subtle and imper-ceptibly small motions in videos. They fall into two main groups where Eulerian methods work on the pixel grid with implicit motion informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e85b5d8cf5d544280a6070bfc620436b
https://pubmed.ncbi.nlm.nih.gov/36086177
https://pubmed.ncbi.nlm.nih.gov/36086177