Zobrazeno 1 - 10
of 3 388
pro vyhledávání: '"Rother, P."'
This work addresses the task of zero-shot monocular depth estimation. A recent advance in this field has been the idea of utilising Text-to-Image foundation models, such as Stable Diffusion. Foundation models provide a rich and generic image represen
Externí odkaz:
http://arxiv.org/abs/2409.09144
Autor:
Hodan, Tomas, Sundermeyer, Martin, Labbe, Yann, Nguyen, Van Nguyen, Wang, Gu, Brachmann, Eric, Drost, Bertram, Lepetit, Vincent, Rother, Carsten, Matas, Jiri
We present the evaluation methodology, datasets and results of the BOP Challenge 2023, the fifth in a series of public competitions organized to capture the state of the art in model-based 6D object pose estimation from an RGB/RGB-D image and related
Externí odkaz:
http://arxiv.org/abs/2403.09799
The field of image synthesis has made tremendous strides forward in the last years. Besides defining the desired output image with text-prompts, an intuitive approach is to additionally use spatial guidance in form of an image, such as a depth map. I
Externí odkaz:
http://arxiv.org/abs/2312.06573
Publikováno v:
Eiszeitalter und Gegenwart, Vol 73, Pp 161-178 (2024)
Understanding how landscapes evolve under changing tectonic and climatic boundary conditions requires the quantification of erosion rates on different temporal and spatial scales. Here we present results of local and catchment-wide erosion rates deri
Externí odkaz:
https://doaj.org/article/b24534da99b2476697eb4b1e5d8dd39c
Autor:
Guiyeoul Lim, Donato Calabrese, Allison Wolder, Paul R. F. Cordero, Dörte Rother, Florian F. Mulks, Caroline E. Paul, Lars Lauterbach
Publikováno v:
Communications Chemistry, Vol 7, Iss 1, Pp 1-7 (2024)
Abstract Despite the increasing demand for efficient and sustainable chemical processes, the development of scalable systems using biocatalysis for fine chemical production remains a significant challenge. We have developed a scalable flow system usi
Externí odkaz:
https://doaj.org/article/6ffacc8baeaa48efa54a81c4ee2a0ecf
Autor:
Lina Tan, Jana Zschüntzsch, Stefanie Meyer, Alica Stobbe, Hannah Bruex, Adrian P. Regensburger, Merle Claßen, Frauke Alves, Jörg Jüngert, Ulrich Rother, Yi Li, Vera Danko, Werner Lang, Matthias Türk, Sandy Schmidt, Matthias Vorgerd, Lara Schlaffke, Joachim Woelfle, Andreas Hahn, Alexander Mensch, Martin Winterholler, Regina Trollmann, Rafael Heiß, Alexandra L. Wagner, Roman Raming, Ferdinand Knieling
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Pompe disease (PD) is a rare autosomal recessive glycogen storage disorder that causes proximal muscle weakness and loss of respiratory function. While enzyme replacement therapy (ERT) is the only effective treatment, biomarkers for disease
Externí odkaz:
https://doaj.org/article/8655ac3a16f54504b7231fb6083d2f96
Autor:
Bert van de Kooij, Fenna J. van der Wal, Magdalena B. Rother, Wouter W. Wiegant, Pau Creixell, Merula Stout, Brian A. Joughin, Julia Vornberger, Matthias Altmeyer, Marcel A. T. M. van Vugt, Michael B. Yaffe, Haico van Attikum
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract During the repair of interstrand crosslinks (ICLs) a DNA double-strand break (DSB) is generated. The Fanconi anemia (FA) core complex, which is recruited to ICLs, promotes high-fidelity repair of this DSB by homologous recombination (HR). Ho
Externí odkaz:
https://doaj.org/article/8089b7910a9a4e0b88480d0ad31ef39a
We contribute to the sparsely populated area of unsupervised deep graph matching with application to keypoint matching in images. Contrary to the standard \emph{supervised} approach, our method does not require ground truth correspondences between ke
Externí odkaz:
http://arxiv.org/abs/2307.08930
Autor:
Müller, Jens, Radev, Stefan T., Schmier, Robert, Draxler, Felix, Rother, Carsten, Köthe, Ullrich
Publikováno v:
Transactions on Machine Learning Research (06/2023)
We investigate a "learning to reject" framework to address the problem of silent failures in Domain Generalization (DG), where the test distribution differs from the training distribution. Assuming a mild distribution shift, we wish to accept out-of-
Externí odkaz:
http://arxiv.org/abs/2303.09989
Autor:
Sundermeyer, Martin, Hodan, Tomas, Labbe, Yann, Wang, Gu, Brachmann, Eric, Drost, Bertram, Rother, Carsten, Matas, Jiri
We present the evaluation methodology, datasets and results of the BOP Challenge 2022, the fourth in a series of public competitions organized with the goal to capture the status quo in the field of 6D object pose estimation from an RGB/RGB-D image.
Externí odkaz:
http://arxiv.org/abs/2302.13075