Pascal Peter - RankMe

48 papers A* 1B 4C 4Misc 2Journal 22Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Skeleton Sparsification and Densification Scale-Spaces. CoRR Julia Gierke, Pascal Peter
2025	—	`conf`	Skeletonisation Scale-Spaces. SSVM (2) Julia Gierke, Pascal Peter
2024	J	`jnl`	Generalised Diffusion Probabilistic Scale-Spaces. J. Math. Imaging Vis. Pascal Peter
2024	A*	`conf`	Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields. ICML Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg
2024	J	`jnl`	Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields. CoRR Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg
2023	J	`jnl`	Connections Between Numerical Algorithms for PDEs and Neural Networks. J. Math. Imaging Vis. Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert
2023	J	`jnl`	Deep spatial and tonal data optimisation for homogeneous diffusion inpainting. Pattern Anal. Appl. Pascal Peter, Karl Schrader, Tobias Alt, Joachim Weickert
2023	—	`conf`	Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. SSVM Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert
2023	J	`jnl`	Efficient Neural Generation of 4K Masks for Homogeneous Diffusion Inpainting. CoRR Karl Schrader, Pascal Peter, Niklas Kämper, Joachim Weickert
2023	J	`jnl`	Generalised Probabilistic Diffusion Scale-Spaces. CoRR Pascal Peter
2023	—	`conf`	Generalised Scale-Space Properties for Probabilistic Diffusion Models. SSVM Pascal Peter
2023	J	`jnl`	Generalised Scale-Space Properties for Probabilistic Diffusion Models. CoRR Pascal Peter
2023	—	`conf`	Image Blending with Osmosis. SSVM Paul Bungert, Pascal Peter, Joachim Weickert
2022	C	`conf`	A Wasserstein GAN for Joint Learning of Inpainting and Spatial Optimisation. PSIVT Pascal Peter
2022	J	`jnl`	A Wasserstein GAN for Joint Learning of Inpainting and its Spatial Optimisation. CoRR Pascal Peter
2022	Misc	`conf`	Learning Sparse Masks for Diffusion-Based Image Inpainting. IbPRIA Tobias Alt, Pascal Peter, Joachim Weickert
2021	J	`jnl`	A systematic evaluation of coding strategies for sparse binary images. Signal Process. Image Commun. Rahul Mohideen Kaja Mohideen, Pascal Peter, Joachim Weickert
2021	J	`jnl`	Connections between Numerical Algorithms for PDEs and Neural Networks. CoRR Tobias Alt, Karl Schrader, Matthias Augustin, Pascal Peter, Joachim Weickert
2021	J	`jnl`	Designing Rotationally Invariant Neural Networks from PDEs and Variational Methods. CoRR Tobias Alt, Karl Schrader, Joachim Weickert, Pascal Peter, Matthias Augustin
2021	—	`conf`	Inpainting-Based Video Compression in FullHD. SSVM Sarah Andris, Pascal Peter, Rahul Mohideen Kaja Mohideen, Joachim Weickert, Sebastian Hoffmann
2021	C	`conf`	JPEG Meets PDE-based Image Compression. PCS Sarah Andris, Joachim Weickert, Tobias Alt, Pascal Peter
2021	J	`jnl`	Learning Sparse Masks for Diffusion-based Image Inpainting. CoRR Tobias Alt, Pascal Peter, Joachim Weickert
2021	—	`conf`	Quantisation Scale-Spaces. SSVM Pascal Peter
2021	—	`conf`	Translating Numerical Concepts for PDEs into Neural Architectures. SSVM Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader
2021	J	`jnl`	Translating Numerical Concepts for PDEs into Neural Architectures. CoRR Tobias Alt, Pascal Peter, Joachim Weickert, Karl Schrader
2020	Misc	`conf`	Compressing Flow Fields with Edge-Aware Homogeneous Diffusion Inpainting. ICASSP Ferdinand Jost, Pascal Peter, Joachim Weickert
2020	—	`conf`	Compressing Piecewise Smooth Images with the Mumford-Shah Cartoon Model. EUSIPCO Ferdinand Jost, Pascal Peter, Joachim Weickert
2020	J	`jnl`	Translating Diffusion, Wavelets, and Regularisation into Residual Networks. CoRR Tobias Alt, Joachim Weickert, Pascal Peter
2019	—	`conf`	Compressing Audio Signals with Inpainting-Based Sparsification. SSVM Pascal Peter, Jan Contelly, Joachim Weickert
2019	B	`conf`	Fast Inpainting-Based Compression: Combining Shepard Interpolation with Joint Inpainting and Prediction. ICIP Pascal Peter
2019	—	`conf`	Sparsification Scale-Spaces. SSVM Marcelo Cárdenas, Pascal Peter, Joachim Weickert
2018	J	`jnl`	Clustering-based quantisation for PDE-based image compression. Signal Image Video Process. Laurent Hoeltgen, Pascal Peter, Michael Breuß
2018	B	`conf`	Optimising Data for Exemplar-Based Inpainting. ACIVS Lena Karos, Pinak Bheed, Pascal Peter, Joachim Weickert
2017	J	`jnl`	Clustering-Based Quantisation for PDE-Based Image Compression. CoRR Laurent Hoeltgen, Pascal Peter, Michael Breuß
2017	—	`conf`	Denoising by Inpainting. SSVM Robin Dirk Adam, Pascal Peter, Joachim Weickert
2017	J	`jnl`	Diffusion-Based Inpainting for Coding Remote-Sensing Data. IEEE Geosci. Remote. Sens. Lett. Naoufal Amrani, Joan Serra-Sagristà, Pascal Peter, Joachim Weickert
2017	J	`jnl`	Turning Diffusion-Based Image Colorization Into Efficient Color Compression. IEEE Trans. Image Process. Pascal Peter, Lilli Kaufhold, Joachim Weickert
2016	C	`conf`	A proof-of-concept framework for PDE-based video compression. PCS Sarah Andris, Pascal Peter, Joachim Weickert
2016	J	`jnl`	Evaluating the true potential of diffusion-based inpainting in a compression context. Signal Process. Image Commun. Pascal Peter, Sebastian Hoffmann, Frank Nedwed, Laurent Hoeltgen, Joachim Weickert
2016	B	`conf`	Gradients versus Grey Values for Sparse Image Reconstruction and Inpainting-Based Compression. ACIVS Markus Schneider, Pascal Peter, Sebastian Hoffmann, Joachim Weickert, Enric Meinhardt-Llopis
2015	J	`jnl`	Beyond pure quality: Progressive modes, region of interest coding, and real time video decoding for PDE-based image compression. J. Vis. Commun. Image Represent. Pascal Peter, Christian Schmaltz, Nicolas Mach, Markus Mainberger, Joachim Weickert
2015	—	`conf`	Compressing Images with Diffusion- and Exemplar-Based Inpainting. SSVM Pascal Peter, Joachim Weickert
2015	C	`conf`	From Optimised Inpainting with Linear PDEs Towards Competitive Image Compression Codecs. PSIVT Pascal Peter, Sebastian Hoffmann, Frank Nedwed, Laurent Hoeltgen, Joachim Weickert
2014	B	`conf`	Colour image compression with anisotropic diffusion. ICIP Pascal Peter, Joachim Weickert
2014	—	`conf`	Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images. EMMCVPR Pascal Peter, Joachim Weickert, Axel Munk, Tatyana Krivobokova, Housen Li
2014	J	`jnl`	Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion. Int. J. Comput. Vis. Christian Schmaltz, Pascal Peter, Markus Mainberger, Franziska Ebel, Joachim Weickert, Andrés Bruhn
2013	—	`ch.`	Refined Homotopic Thinning Algorithms and Quality Measures for Skeletonisation Methods. Innovations for Shape Analysis, Models and Algorithms Pascal Peter, Michael Breuß
2013	—	`conf`	Three-Dimensional Data Compression with Anisotropic Diffusion. GCPR Pascal Peter