Zobrazeno 1 - 10
of 5 360
pro vyhledávání: '"A. Czajka"'
This work explores how human judgement about salient regions of an image can be introduced into deep convolutional neural network (DCNN) training. Traditionally, training of DCNNs is purely data-driven. This often results in learning features of the
Externí odkaz:
http://arxiv.org/abs/2410.16190
We consider dijet production in deep inelastic scattering at small $x$, on a purely gluonic unpolarized target. Starting from earlier results obtained at next-to-eikonal accuracy in the high-energy limit, we perform the expansion in the back-to-back
Externí odkaz:
http://arxiv.org/abs/2410.00612
Autor:
Halloran, Thomas, Czajka, Peter, Salas, Gicela Saucedo, Frank, Corey, Kang, Chang-Jong, Rodriguez-Rivera, J. A., Lass, Jakob, Mazzone, Daniel G., Janoschek, Marc, Kotliar, Gabi, Butch, Nicholas P.
The detailed anisotropy of the low-temperature, low-energy magnetic excitations of the candidate spin-triplet superconductor UTe$_2$ is revealed using inelastic neutron scattering. The magnetic excitations emerge from the Brillouin zone boundary at t
Externí odkaz:
http://arxiv.org/abs/2408.14619
This paper proposes a framework for a privacy-safe iris presentation attack detection (PAD) method, designed solely with synthetically-generated, identity-leakage-free iris images. Once trained, the method is evaluated in a classical way using state-
Externí odkaz:
http://arxiv.org/abs/2408.02750
The layered honeycomb material BaCo$_2$(AsO$_4$)$_2$ (BCAO) is of topical interest because its magnetic state is related to that of the Kitaev magnet $\alpha$-RuCl$_3$. Using thermal transport to probe how magnetic excitations interact with phonons i
Externí odkaz:
http://arxiv.org/abs/2408.00873
Incorporating human-perceptual intelligence into model training has shown to increase the generalization capability of models in several difficult biometric tasks, such as presentation attack detection (PAD) and detection of synthetic samples. After
Externí odkaz:
http://arxiv.org/abs/2405.00650
Subtle periodic signals, such as blood volume pulse and respiration, can be extracted from RGB video, enabling noncontact health monitoring at low cost. Advancements in remote pulse estimation -- or remote photoplethysmography (rPPG) -- are currently
Externí odkaz:
http://arxiv.org/abs/2404.13449
Autor:
Bhuiyan, Rasel Ahmed, Czajka, Adam
Post-mortem iris recognition is an emerging application of iris-based human identification in a forensic setup. One factor that may be useful in conditioning iris recognition methods is the tissue decomposition level, which is correlated with the pos
Externí odkaz:
http://arxiv.org/abs/2404.10172
Autor:
Lewin, Sylvia K., Czajka, Peter, Frank, Corey E., Salas, Gicela Saucedo, Yoon, Hyeok, Eo, Yun Suk, Paglione, Johnpierre, Nevidomskyy, Andriy H., Singleton, John, Butch, Nicholas P.
Heavy fermion UTe$_2$ is a promising candidate for topological superconductivity that also exhibits multiple high-field superconducting phases. The SC$_{\rm{FP}}$ phase has only been observed in off-axis magnetic fields in the $bc$ plane at fields gr
Externí odkaz:
http://arxiv.org/abs/2402.18564
Visible-light cameras can capture subtle physiological biomarkers without physical contact with the subject. We present the Multi-Site Physiological Monitoring (MSPM) dataset, which is the first dataset collected to support the study of simultaneous
Externí odkaz:
http://arxiv.org/abs/2402.02224