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20172024
most citedTranslating Diffusion, Wavelets, and Regularisation into Residual Networks

4 citations · 12 across the 14 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

eess.IV2020★ 3 cited

Compressing Colour Images with Joint Inpainting and Prediction

Rahul Mohideen Kaja Mohideen, Pascal Peter, Tobias Alt +2

Inpainting-based codecs store sparse, quantised pixel data directly and decode by interpolating the discarded image parts. This interpolation can be used simultaneously for efficie…

eess.IV2020

A Systematic Evaluation of Coding Strategies for Sparse Binary Images

Rahul Mohideen Kaja Mohideen, Pascal Peter, Joachim Weickert

Inpainting-based compression represents images in terms of a sparse subset of its pixel data. Storing the carefully optimised positions of known data creates a lossless compression…

cs.GT2020

LP Formulations of sufficient statistic based strategies in Finite Horizon Two-Player Zero-Sum Stochastic Bayesian games

Nabiha Nasir Orpa, Lichun Li

This paper studies two-player zero-sum stochastic Bayesian games where each player has its own dynamic state that is unknown to the other player. Using typical techniques, we provi…

eess.IV2020

Compressing Piecewise Smooth Images with the Mumford-Shah Cartoon Model

Ferdinand Jost, Pascal Peter, Joachim Weickert

Compressing piecewise smooth images is important for many data types such as depth maps in 3D videos or optic flow fields for motion compensation. Specialised codecs that rely on e…

cs.LG2020★ 4 cited

Translating Diffusion, Wavelets, and Regularisation into Residual Networks

Tobias Alt, Joachim Weickert, Pascal Peter

Convolutional neural networks (CNNs) often perform well, but their stability is poorly understood. To address this problem, we consider the simple prototypical problem of signal de…