no code implementations • 28 Apr 2023 • Hendrik Sommerhoff, Shashank Agnihotri, Mohamed Saleh, Michael Moeller, Margret Keuper, Andreas Kolb
The success of deep learning is frequently described as the ability to train all parameters of a network on a specific application in an end-to-end fashion.
no code implementations • 9 Dec 2022 • Yuval Bahat, Yuxuan Zhang, Hendrik Sommerhoff, Andreas Kolb, Felix Heide
This allows us to super-resolve the 3D scene representation by applying 2D convolutional networks on the 2D feature planes.
no code implementations • 30 Nov 2021 • Paramanand Chandramouli, Hendrik Sommerhoff, Andreas Kolb
consists of a feature extractor and a decoder which are trained on a dataset of light field patches.
no code implementations • 13 May 2020 • Paramanand Chandramouli, Kanchana Vaishnavi Gandikota, Andreas Goerlitz, Andreas Kolb, Michael Moeller
We develop a generative model conditioned on the central view of the light field and incorporate this as a prior in an energy minimization framework to address diverse light field reconstruction tasks.
no code implementations • NeurIPS Workshop Deep_Invers 2019 • Hendrik Sommerhoff, Andreas Kolb, Michael Moeller
In this paper we consider the combination of both approaches by projecting the outputs of a plug-and-play denoising network onto the cone of descent directions to a given energy.
1 code implementation • 2 Jul 2019 • Tak Ming Wong, Matthias Kahl, Peter Haring Bolívar, Andreas Kolb, Michael Möller
Extracting the interpretable and physically meaningful parameters for such applications, however, requires solving an inverse problem in which a model function determined by these parameters needs to be fitted to the measured data.
no code implementations • 10 Dec 2018 • Gianni Franchi, Angela Yao, Andreas Kolb
We propose a novel single-image super-resolution approach based on the geostatistical method of kriging.
1 code implementation • 6 Nov 2018 • Paramanand Chandramouli, Samuel Burri, Claudio Bruschini, Edoardo Charbon, Andreas Kolb
Recent advances in photographic sensing technologies have made it possible to achieve light detection in terms of a single photon.
no code implementations • 26 Sep 2018 • Christoph Schikora, Markus Plack, Andreas Kolb
By plotting the residuum resulting from the unmixing and reconstruction and the condition number of various EM sets, the resulting diagram provides insight into the behavior of the spectral unmixing under a varying amount of endmembers (EMs).
no code implementations • 5 Feb 2016 • Dzenan Zukic, Jan Egger, Miriam H. A. Bauer, Daniela Kuhnt, Barbara Carl, Bernd Freisleben, Andreas Kolb, Christopher Nimsky
The most common sellar lesion is the pituitary adenoma, and sellar tumors are approximately 10-15% of all intracranial neoplasms.
no code implementations • ICCV 2015 • Shida Beigpour, Andreas Kolb, Sven Kunz
In this paper, we provide a new, real photo dataset with precise ground-truth for intrinsic image research.
no code implementations • CVPR 2015 • Lei Xiao, Felix Heide, Matthew O'Toole, Andreas Kolb, Matthias B. Hullin, Kyros Kutulakos, Wolfgang Heidrich
Continuous-wave time-of-flight (ToF) cameras show great promise as low-cost depth image sensors in mobile applications.
no code implementations • 20 May 2015 • Hamed Sarbolandi, Damien Lefloch, Andreas Kolb
Recently, the new Kinect One has been issued by Microsoft, providing the next generation of real-time range sensing devices based on the Time-of-Flight (ToF) principle.