no code implementations • CVPR 2022 • Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang
LBVE contains two features: 1) the scenario of the source video is preserved instead of generating a completely different video; 2) the semantic is presented differently in the target video, and all changes are controlled by the given instruction.
1 code implementation • 18 Nov 2020 • Satish Kumar, A S M Iftekhar, Michael Goebel, Tom Bullock, Mary H. MacLean, Michael B. Miller, Tyler Santander, Barry Giesbrecht, Scott T. Grafton, B. S. Manjunath
Precise measurement of physiological signals is critical for the effective monitoring of human vital signs.
no code implementations • 2 Oct 2019 • Haraldur T. Hallgrimsson, Richika Sharan, Scott T. Grafton, Ambuj K. Singh
Our proposed method builds on a Bayesian estimate of heteroscedastic aleatoric uncertainty of a region of white matter by inpainting it from its context.
no code implementations • 14 Feb 2018 • Haraldur T. Hallgrímsson, Matthew Cieslak, Luca Foschini, Scott T. Grafton, Ambuj K. Singh
Furthermore, we show that the orientation similarity within these regions generalizes to a subset of 47 pairs of non-twin siblings, and show that these siblings are on average as similar as dizygotic twins.
no code implementations • 26 Jan 2017 • Konstantinos Slavakis, Shiva Salsabilian, David S. Wack, Sarah F. Muldoon, Henry E. Baidoo-Williams, Jean M. Vettel, Matthew Cieslak, Scott T. Grafton
This paper advocates Riemannian multi-manifold modeling in the context of network-wide non-stationary time-series analysis.