Computer Vision and Geometry Group | Dr. Dániel Béla Baráth
ETH Zürich Universitätstrasse 6 CH-8092 Zürich. Department of Computer Science Computer Vision and Geometry Group CNB G 103.2] [email protected]. Please see my Google Scholar pages. June 2024: Nine papers accepted to ECCV 2024. "Where am I?" Scene Retrieval with Language, ECCV 2024.
Daniel Barath - dblp
Shuzhe Wang, Juho Kannala, Daniel Barath: DGC-GNN: Descriptor-free Geometric-Color Graph Neural Network for 2D-3D Matching. CoRR abs/2306.12547 (2023)
Dániel BARÁTH | PostDoc Position | Phd | ETH Zurich, Zürich | ETH ...
Dániel Baráth currently works at the Machine Perception Research Laboratory, Hungarian Academy of Sciences. Dániel does research in Algebra, Algorithms and Computer Graphics.
danini (Daniel Barath) - GitHub
The Progressive-X algorithm proposed in paper: Daniel Barath and Jiri Matas; Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm, International Conference on Computer Vision, 2019. It …
Daniel Barath - OpenReview
Daniel Barath Postdoc, Department of Computer Science, ETHZ - ETH Zurich. Joined ; July 2019
Dániel Baráth – Senior Researcher – ETH Zürich | LinkedIn
Senior Researcher at ETH Zürich · I work as a researcher at SZTAKI (Budapest, Hungary) and at the Czech Technical University (Prague, Czech Republic). My field is computer vision and pattern...
- 职位: Senior Researcher at ETH Zürich
- 位置: ETH Zürich
Publications - ETH Z
Publications. Please see my Google Scholar pages.. News. March 2022: Two papers accepted to CVPR 2022. July 2021: "Marginalizing sample consensus" is accepted to PAMI; July 2021: Two papers accepted to ICRA 2021
We present a large-scale dataset of Planes in 3D, Pi3D, of roughly 1000 planes observed in 10 000 images from the 1DSfM dataset, and HEB, a large-scale homography estimation benchmark leveraging Pi3D.
Dániel Baráth | IEEE Xplore Author Details
Daniel Barath was born in Budapest in 1989. He received the PhD defense degree from Eotvos Lorand University in 2019. He is a member of the Visual Recognition Group, FEE, Czech Technical University, Prague, Czech Republic, and the Machine Perception Research Laboratory, Institute for Computer Science and Control, Budapest, Hungary.
Daniel Barath (0000-0002-8736-0222) - ORCID
Daniel Barath via Europe PubMed Central Novel methods for estimating surface normals from affine transformations Communications in Computer and Information Science
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