Zobrazeno 1 - 10
of 770
pro vyhledávání: '"Ferstl, P"'
Autor:
Simonović, Ksenija, Ferstl, Richard, Di Silvestro, Alfredo, Mayor, Marcel, Martinetz, Lukas, Hornberger, Klaus, Stickler, Benjamin A., Brand, Christian, Arndt, Markus
Matter-wave interferometry with molecules is intriguing both because it demonstrates a fundamental quantum phenomenon and because it opens avenues to quantum-enhanced measurements in physical chemistry. One great challenge in such experiments is to e
Externí odkaz:
http://arxiv.org/abs/2408.00461
Autor:
Martinetz, Lukas, Stickler, Benjamin A., Simonović, Ksenija, Ferstl, Richard, Brand, Christian, Arndt, Markus, Hornberger, Klaus
We show that matter-wave diffraction off a single standing laser wave can be used as an accurate measurement scheme for photophysical molecular parameters. These include state-dependent optical polarizabilities and photon-absorption cross sections, t
Externí odkaz:
http://arxiv.org/abs/2407.18775
We propose an approach for reconstructing free-moving object from a monocular RGB video. Most existing methods either assume scene prior, hand pose prior, object category pose prior, or rely on local optimization with multiple sequence segments. We p
Externí odkaz:
http://arxiv.org/abs/2405.05858
Autor:
Simonović, Ksenija, Ferstl, Richard, Barlow, Anders, Shayeghi, Armin, Brand, Christian, Arndt, Markus
Publikováno v:
Phys. Rev. Research 6, 033109, 2024
The quantum wave nature of matter is a cornerstone of modern physics, which has been demonstrated for a wide range of fundamental and composite particles. While diffraction at nanomechanical masks is usually regarded to be independent of atomic or mo
Externí odkaz:
http://arxiv.org/abs/2401.05854
Most self-supervised 6D object pose estimation methods can only work with additional depth information or rely on the accurate annotation of 2D segmentation masks, limiting their application range. In this paper, we propose a 6D object pose estimatio
Externí odkaz:
http://arxiv.org/abs/2308.10016
We present ZeroEGGS, a neural network framework for speech-driven gesture generation with zero-shot style control by example. This means style can be controlled via only a short example motion clip, even for motion styles unseen during training. Our
Externí odkaz:
http://arxiv.org/abs/2209.07556
Publikováno v:
Comprehensive Psychiatry, Vol 132, Iss , Pp 152488- (2024)
Background: Major depressive disorder (MDD) is often marked by impaired motivation and reward processing, known as anhedonia. Many patients do not respond to first-line treatments, and improvements in motivation can be slow, creating an urgent need f
Externí odkaz:
https://doaj.org/article/ee98d6013f2b4c4fa544d45d1c0ec200
Publikováno v:
Acta Oto-Laryngologica Case Reports, Vol 8, Iss 1, Pp 29-34 (2023)
AbstractWe report on a 21-year-old male patient, suffering from bilateral acute hearing loss and vertigo. The article presents the clinical course of autoimmune inner ear disease, including diagnostic approaches and challenges, as well as therapeutic
Externí odkaz:
https://doaj.org/article/c740c75b388545b6b3d433b7d983d6ca
Autor:
Rolla, Julie, Arakaki, Dean, Clowdus, Maximilian, Connolly, Amy, Debolt, Ryan, Deer, Leo, Fahimi, Ethan, Ferstl, Eliot, Gourapura, Suren, Harris, Corey, Letwin, Luke, Machtay, Alex, Patton, Alex, Pfendner, Carl, Sbrocco, Cade, Sinha, Tom, Sipe, Ben, Staats, Kai, Trevithick, Jacob, Wissel, Stephanie
Evolutionary algorithms are a type of artificial intelligence that utilize principles of evolution to efficiently determine solutions to defined problems. These algorithms are particularly powerful at finding solutions that are too complex to solve w
Externí odkaz:
http://arxiv.org/abs/2112.00197
Publikováno v:
IEEE International Conference on Computer Vision 2021
This work presents a novel approach for semi-supervised semantic segmentation. The key element of this approach is our contrastive learning module that enforces the segmentation network to yield similar pixel-level feature representations for same-cl
Externí odkaz:
http://arxiv.org/abs/2104.13415