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ORCIDPascal Peter
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- affiliation: Saarland University, Faculty of Mathematics and Computer Science, Saarbrücken, Germany
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2020 – today
- 2023
[j9]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)- [j8]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) - [c23]Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert:
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. SSVM 2023: 16-28 - [c22]Pascal Peter:
Generalised Scale-Space Properties for Probabilistic Diffusion Models. SSVM 2023: 601-613 - [c21]Paul Bungert, Pascal Peter, Joachim Weickert:
Image Blending with Osmosis. SSVM 2023: 652-664 - [i10]Pascal Peter:
Generalised Scale-Space Properties for Probabilistic Diffusion Models. CoRR abs/2303.07900 (2023) - [i9]Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert:
Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. CoRR abs/2303.10096 (2023) - [i8]Pascal Peter:
Generalised Probabilistic Diffusion Scale-Spaces. CoRR abs/2309.08511 (2023) - 2022
- [c20]Tobias Alt, Pascal Peter, Joachim Weickert:
Learning Sparse Masks for Diffusion-Based Image Inpainting. IbPRIA 2022: 528-539 - [c19]Pascal Peter:
A Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation. PSIVT 2022: 132-145 - [i7]Pascal Peter:
A Wasserstein GAN for Joint Learning of Inpainting and its Spatial Optimisation. CoRR abs/2202.05623 (2022) - 2021
- [j7]Rahul Mohideen Kaja Mohideen, Pascal Peter, Joachim Weickert:
A systematic evaluation of coding strategies for sparse binary images. Signal Process. Image Commun. 99: 116424 (2021) - [c18]Sarah Andris, Joachim Weickert, Tobias Alt, Pascal Peter:
JPEG Meets PDE-based Image Compression. PCS 2021: 1-5 - [c17]Pascal Peter:
Quantisation Scale-Spaces. SSVM 2021: 15-26 - [c16]Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader:
Translating Numerical Concepts for PDEs into Neural Architectures. SSVM 2021: 294-306 - [c15]Sarah Andris, Pascal Peter, Rahul Mohideen Kaja Mohideen, Joachim Weickert, Sebastian Hoffmann:
Inpainting-Based Video Compression in FullHD. SSVM 2021: 425-436 - [i6]Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader:
Translating Numerical Concepts for PDEs into Neural Architectures. CoRR abs/2103.15419 (2021) - [i5]Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert:
Connections between Numerical Algorithms for PDEs and Neural Networks. CoRR abs/2107.14742 (2021) - [i4]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) - [i3]Tobias Alt, Pascal Peter, Joachim Weickert:
Learning Sparse Masks for Diffusion-based Image Inpainting. CoRR abs/2110.02636 (2021) - 2020
- [c14]Ferdinand Jost, Pascal Peter, Joachim Weickert:
Compressing Piecewise Smooth Images with the Mumford-Shah Cartoon Model. EUSIPCO 2020: 511-515 - [c13]Ferdinand Jost, Pascal Peter, Joachim Weickert:
Compressing Flow Fields with Edge-Aware Homogeneous Diffusion Inpainting. ICASSP 2020: 2198-2202 - [i2]Tobias Alt, Joachim Weickert, Pascal Peter:
Translating Diffusion, Wavelets, and Regularisation into Residual Networks. CoRR abs/2002.02753 (2020)
2010 – 2019
- 2019
- [c12]Pascal Peter:
Fast Inpainting-Based Compression: Combining Shepard Interpolation with Joint Inpainting and Prediction. ICIP 2019: 3557-3561 - [c11]Pascal Peter, Jan Contelly, Joachim Weickert:
Compressing Audio Signals with Inpainting-Based Sparsification. SSVM 2019: 92-103 - [c10]Marcelo Cárdenas, Pascal Peter, Joachim Weickert:
Sparsification Scale-Spaces. SSVM 2019: 303-314 - 2018
- [j6]Laurent Hoeltgen, Pascal Peter, Michael Breuß:
Clustering-based quantisation for PDE-based image compression. Signal Image Video Process. 12(3): 411-419 (2018) - [c9]Lena Karos, Pinak Bheed, Pascal Peter, Joachim Weickert:
Optimising Data for Exemplar-Based Inpainting. ACIVS 2018: 547-558 - 2017
- [j5]Naoufal Amrani, Joan Serra-Sagristà, Pascal Peter, Joachim Weickert:
Diffusion-Based Inpainting for Coding Remote-Sensing Data. IEEE Geosci. Remote. Sens. Lett. 14(8): 1203-1207 (2017) - [j4]Pascal Peter, Lilli Kaufhold, Joachim Weickert:
Turning Diffusion-Based Image Colorization Into Efficient Color Compression. IEEE Trans. Image Process. 26(2): 860-869 (2017) - [c8]Robin Dirk Adam, Pascal Peter, Joachim Weickert:
Denoising by Inpainting. SSVM 2017: 121-132 - [i1]Laurent Hoeltgen, Pascal Peter, Michael Breuß:
Clustering-Based Quantisation for PDE-Based Image Compression. CoRR abs/1706.06347 (2017) - 2016
- [b1]Pascal Tobias Peter:
Understanding and advancing PDE-based image compression. Saarland University, 2016 - [j3]Pascal Peter, Sebastian Hoffmann, Frank Nedwed, Laurent Hoeltgen, Joachim Weickert:
Evaluating the true potential of diffusion-based inpainting in a compression context. Signal Process. Image Commun. 46: 40-53 (2016) - [c7]Markus Schneider, Pascal Peter, Sebastian Hoffmann, Joachim Weickert, Enric Meinhardt-Llopis:
Gradients versus Grey Values for Sparse Image Reconstruction and Inpainting-Based Compression. ACIVS 2016: 1-13 - [c6]Sarah Andris, Pascal Peter, Joachim Weickert:
A proof-of-concept framework for PDE-based video compression. PCS 2016: 1-5 - 2015
- [j2]Pascal Peter, Christian Schmaltz, Nicolas Mach, Markus Mainberger, Joachim Weickert:
Beyond pure quality: Progressive modes, region of interest coding, and real time video decoding for PDE-based image compression. J. Vis. Commun. Image Represent. 31: 253-265 (2015) - [c5]Pascal Peter, Sebastian Hoffmann, Frank Nedwed, Laurent Hoeltgen, Joachim Weickert:
From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs. PSIVT 2015: 63-74 - [c4]Pascal Peter, Joachim Weickert:
Compressing Images with Diffusion- and Exemplar-Based Inpainting. SSVM 2015: 154-165 - 2014
- [j1]Christian Schmaltz, Pascal Peter, Markus Mainberger, Franziska Ebel, Joachim Weickert, Andrés Bruhn:
Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion. Int. J. Comput. Vis. 108(3): 222-240 (2014) - [c3]Pascal Peter, Joachim Weickert, Axel Munk, Tatyana Krivobokova, Housen Li:
Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images. EMMCVPR 2014: 263-277 - [c2]Pascal Peter, Joachim Weickert:
Colour image compression with anisotropic diffusion. ICIP 2014: 4822-4826 - 2013
- [c1]Pascal Peter:
Three-Dimensional Data Compression with Anisotropic Diffusion. GCPR 2013: 231-236 - [p1]Pascal Peter, Michael Breuß:
Refined Homotopic Thinning Algorithms and Quality Measures for Skeletonisation Methods. Innovations for Shape Analysis, Models and Algorithms 2013: 77-92
Coauthor Index
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