Details

Title

Univ.Ass. Dipl.-Ing. BSc
Function:
  • Scientist

Room

HD0509

Links

Phone

+43-1-58801-18688

E-Mail

celarek [at] cg.tuwien.ac.at

Function

  • PhD Student
  • Marie Skłodowska-Curie fellow under the EVOCATION training network

Interests

  • Physically based rendering
  • Deep learning for 3d data
  • Point clouds, Gaussian mixture models
  • Terrain rendering, (3d) mapping

Current projects

  • Performing deep learning on unstructured 3d data, in particular Gaussian mixture models.
  • AlpineMaps: we want to develop the best navigation aid for alpinists (in collaboration with Manuela Waldner and others).

News

Courses in the current semester

Publications

6 Publications found:
Image Bib Reference Publication Type
2023
Johannes EschnerORCID iD, Adam Celarek, Manuela WaldnerORCID iD
Echtzeitvisualisierung von Lawinenrisiko basierend auf hochauflösenden Geodaten
In Lawinensymposium 2023, pages 38-43. November 2023.
[paper preprint] [online demo]
Conference Paper
2022
Adam Celarek, Pedro Hermosilla-CasajusORCID iD, Bernhard KerblORCID iD, Timo Ropinski, Michael WimmerORCID iD
Gaussian Mixture Convolution Networks
In The Tenth International Conference on Learning Representations (ICLR 2022), pages 1-23. April 2022.
[paper] [Code on github]
Conference Paper
2019
Error spectrum ensemble Adam Celarek, Wenzel Jakob, Michael WimmerORCID iD, Jaakko Lehtinen
Quantifying the Error of Light Transport Algorithms
Computer Graphics Forum, 38(4):111-121, July 2019. [paper_preprint] [Git repository]
Journal Paper with Conference Talk
Stefan Ohrhallinger, Adam Celarek
X-Mas Card 2019
[image] [pdf]
X-Mas Card
2017
Adam Celarek
Quantifying the Convergence of Light-Transport Algorithms
[poster] [thesis]
Master Thesis
2012
Adam Celarek
Merging Ray Tracing and Rasterization in Mixed Reality
[paper]
Bachelor Thesis
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