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ORCIDTobias Alt
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2020 – today
- 2024
[i9]Tobias Alt, André Ibisch, Clemens Meiser, Anna Wilhelm, Raphael Zimmer, Christian Berghoff, Christoph Droste, Jens Karschau, Friederike Laus, Rainer Plaga, Carola Plesch, Britta Sennewald, Thomas Thaeren, Kristina Unverricht, Steffen Waurick:
Generative AI Models: Opportunities and Risks for Industry and Authorities. CoRR abs/2406.04734 (2024)- 2023
- [j3]Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert:
Connections Between Numerical Algorithms for PDEs and Neural Networks. J. Math. Imaging Vis. 65(1): 185-208 (2023) - [j2]Pascal Peter
, Karl Schrader, Tobias Alt, Joachim Weickert:
Deep spatial and tonal data optimisation for homogeneous diffusion inpainting. Pattern Anal. Appl. 26(4): 1585-1600 (2023) - 2022
- [b1]Tobias Alt-Veit:
Connecting mathematical models for image processing and neural networks. Saarland University, Saarbrücken, Germany, 2022 - [c6]Karl Schrader, Tobias Alt, Joachim Weickert, Michael Ertel:
CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior. EUVIP 2022: 1-6 - [c5]Tobias Alt, Pascal Peter, Joachim Weickert:
Learning Sparse Masks for Diffusion-Based Image Inpainting. IbPRIA 2022: 528-539 - [i8]Karl Schrader, Tobias Alt, Joachim Weickert, Michael Ertel:
CNN-based Euler's Elastica Inpainting with Deep Energy and Deep Image Prior. CoRR abs/2207.07921 (2022) - 2021
- [c4]Tobias Alt, Joachim Weickert:
Learning Integrodifferential Models for Image Denoising. ICASSP 2021: 2045-2049 - [c3]Sarah Andris, Joachim Weickert, Tobias Alt, Pascal Peter:
JPEG Meets PDE-based Image Compression. PCS 2021: 1-5 - [c2]Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader:
Translating Numerical Concepts for PDEs into Neural Architectures. SSVM 2021: 294-306 - [i7]Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader:
Translating Numerical Concepts for PDEs into Neural Architectures. CoRR abs/2103.15419 (2021) - [i6]Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert:
Connections between Numerical Algorithms for PDEs and Neural Networks. CoRR abs/2107.14742 (2021) - [i5]Tobias Alt, Karl Schrader, Joachim Weickert, Pascal Peter, Matthias Augustin:
Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods. CoRR abs/2108.13993 (2021) - [i4]Tobias Alt, Pascal Peter, Joachim Weickert:
Learning Sparse Masks for Diffusion-based Image Inpainting. CoRR abs/2110.02636 (2021) - 2020
- [j1]Marcus Schmidt, Tobias Alt, Kevin Nolte, Thomas Jaitner:
Comment on "Hurdle Clearance Detection and Spatiotemporal Analysis in 400 Meters Hurdles Races Using Shoe-Mounted Magnetic and Inertial Sensor". Sensors 20(10): 2995 (2020) - [c1]Tobias Alt, Joachim Weickert:
Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising. ICASSP 2020: 2018-2022 - [i3]Tobias Alt, Joachim Weickert, Pascal Peter:
Translating Diffusion, Wavelets, and Regularisation into Residual Networks. CoRR abs/2002.02753 (2020) - [i2]Tobias Alt, Joachim Weickert:
Learning Integrodifferential Models for Image Denoising. CoRR abs/2010.10888 (2020)
2010 – 2019
- 2019
- [i1]Tobias Alt, Joachim Weickert:
Learning a Generic Adaptive Wavelet Shrinkage Function for Denoising. CoRR abs/1910.09234 (2019)
Coauthor Index
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