Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Vladislav Golyanik"'
Publikováno v:
IEEE Access, Vol 10, Pp 112832-112844 (2022)
This study investigates how qubits of modern quantum annealers (QA) such as D-Wave can be applied for generating truly random numbers. We show how a QA can be initialised and how the annealing schedule can be set so that after the annealing, thousand
Externí odkaz:
https://doaj.org/article/40e5197f2c1943269271d224f3e0b5b3
Publikováno v:
IEEE Access, Vol 9, Pp 79060-79079 (2021)
This article introduces a new physics-based method for rigid point set alignment called Fast Gravitational Approach (FGA). In FGA, the source and target point sets are interpreted as rigid particle swarms with masses interacting in a globally multipl
Externí odkaz:
https://doaj.org/article/cc9d5f7a631f45209580bf1faa3df135
Publikováno v:
Sensors, Vol 19, Iss 20, p 4603 (2019)
Recovery of articulated 3D structure from 2D observations is a challenging computer vision problem with many applications. Current learning-based approaches achieve state-of-the-art accuracy on public benchmarks but are restricted to specific types o
Externí odkaz:
https://doaj.org/article/d39bffba35ce4d138c3293438584d53e
Publikováno v:
Computer Graphics Forum. 42:1-12
Autor:
Didier Stricker, Christian Theobalt, Sk Aziz Ali, Vladislav Golyanik, Ahmed Elhayek, Jameel Malik, Soshi Shimada
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 44:8962-8974
3D hand shape and pose estimation from a single depth map is a new and challenging computer vision problem with many applications. Existing methods addressing it directly regress hand meshes via 2D convolutional neural networks, which leads to artefa
Autor:
Edith Tretschk, Navami Kairanda, Mallikarjun B R, Rishabh Dabral, Adam Kortylewski, Bernhard Egger, Marc Habermann, Pascal Fua, Christian Theobalt, Vladislav Golyanik
3D reconstruction of deformable (or non‐rigid) scenes from a set of monocular 2D image observations is a long‐standing and actively researched area of computer vision and graphics. It is an ill‐posed inverse problem, since—without additional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a74b55cac14056f149511e570c7380b
https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/23608
https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/23608
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198175
Motion segmentation is a challenging problem that seeks to identify independent motions in two or several input images. This paper introduces the first algorithm for motion segmentation that relies on adiabatic quantum optimization of the objective f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebefd160c01c134d2496819446be3629
Autor:
Hiroyasu Akada, Jian Wang, Soshi Shimada, Masaki Takahashi, Christian Theobalt, Vladislav Golyanik
Publikováno v:
Computer Vision--ECCV 2022
Lecture Notes in Computer Science
Lecture Notes in Computer Science ISBN: 9783031200670
Lecture Notes in Computer Science
Lecture Notes in Computer Science ISBN: 9783031200670
We present UnrealEgo, i.e., a new large-scale naturalistic dataset for egocentric 3D human pose estimation. UnrealEgo is based on an advanced concept of eyeglasses equipped with two fisheye cameras that can be used in unconstrained environments. We d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b15a9e6832f50d8c7daf208b02d562e
This paper proposes a new algorithm for simultaneous graph matching and clustering. For the first time in the literature, these two problems are solved jointly and synergetically without relying on any training data, which brings advantages for ident
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac93307131a307772d8f9101ab867be9
http://arxiv.org/abs/2110.11335
http://arxiv.org/abs/2110.11335
Autor:
Christian Theobalt, Vladislav Golyanik, Susana Castillo, Jann-Ole Henningson, Marcus Magnor, Mohamed Elgharib, Hans-Peter Seidel, Moritz Kappel
Publikováno v:
CVPR
Video-based human motion transfer creates video animations of humans following a source motion. Current methods show remarkable results for tightly-clad subjects. However, the lack of temporally consistent handling of plausible clothing dynamics, inc