Search Results for author: Tobias Uelwer

Found 14 papers, 10 papers with code

Optimizing Intermediate Representations of Generative Models for Phase Retrieval

1 code implementation31 May 2022 Tobias Uelwer, Sebastian Konietzny, Stefan Harmeling

With extensive experiments on the Fourier phase retrieval problem and thorough ablation studies, we can show the benefits of our modified ILO and the new initialization schemes.

Retrieval

Deblurring Photographs of Characters Using Deep Neural Networks

1 code implementation30 May 2022 Thomas Germer, Tobias Uelwer, Stefan Harmeling

Our method consists of three steps: First, we estimate a warping transformation of the images to align the sharp images with the blurred ones.

Deblurring

A Closer Look at Reference Learning for Fourier Phase Retrieval

1 code implementation NeurIPS Workshop Deep_Invers 2021 Tobias Uelwer, Nick Rucks, Stefan Harmeling

In this work, we consider a modified version of the phase retrieval problem, which allows for a reference image to be added onto the image before the Fourier magnitudes are measured.

Retrieval

Learning to Detect Adversarial Examples Based on Class Scores

no code implementations9 Jul 2021 Tobias Uelwer, Felix Michels, Oliver De Candido

Our method is able to detect adversarial examples generated by various attacks, and can be easily adopted to a plethora of deep classification models.

Adversarial Attack Detection Classification

Non-Iterative Phase Retrieval With Cascaded Neural Networks

no code implementations18 Jun 2021 Tobias Uelwer, Tobias Hoffmann, Stefan Harmeling

Fourier phase retrieval is the problem of reconstructing a signal given only the magnitude of its Fourier transformation.

Retrieval

Learning to Plan via a Multi-Step Policy Regression Method

no code implementations18 Jun 2021 Stefan Wagner, Michael Janschek, Tobias Uelwer, Stefan Harmeling

We propose a new approach to increase inference performance in environments that require a specific sequence of actions in order to be solved.

regression

Fast Multi-Level Foreground Estimation

1 code implementation26 Jun 2020 Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling

Alpha matting aims to estimate the translucency of an object in a given image.

Image Matting

PyMatting: A Python Library for Alpha Matting

1 code implementation25 Mar 2020 Thomas Germer, Tobias Uelwer, Stefan Conrad, Stefan Harmeling

Alpha matting describes the problem of separating the objects in the foreground from the background of an image given only a rough sketch.

Image Matting

Phase Retrieval Using Conditional Generative Adversarial Networks

1 code implementation10 Dec 2019 Tobias Uelwer, Alexander Oberstraß, Stefan Harmeling

In this paper, we propose the application of conditional generative adversarial networks to solve various phase retrieval problems.

Retrieval

On the Vulnerability of Capsule Networks to Adversarial Attacks

1 code implementation9 Jun 2019 Felix Michels, Tobias Uelwer, Eric Upschulte, Stefan Harmeling

This paper extensively evaluates the vulnerability of capsule networks to different adversarial attacks.

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