750 citations · 1.4k across the 30 of their papers we have counts for
4 papers · 1 filter
Learning Causal Graphs in Manufacturing Domains using Structural Equation Models
Maximilian Kertel, Stefan Harmeling, Markus Pauly
Many production processes are characterized by numerous and complex cause-and-effect relationships. Since they are only partially known they pose a challenge to effective process c…
Blindly Deconvolving Super-noisy Blurry Image Sequences
Leonid Kostrykin, Stefan Harmeling
Image blur and image noise are imaging artifacts intrinsically arising in image acquisition. In this paper, we consider multi-frame blind deconvolution (MFBD), where image blur is…
Deblurring Photographs of Characters Using Deep Neural Networks
Thomas Germer, Tobias Uelwer, Stefan Harmeling
In this paper, we present our approach for the Helsinki Deblur Challenge (HDC2021). The task of this challenge is to deblur images of characters without knowing the point spread fu…
Optimizing Intermediate Representations of Generative Models for Phase Retrieval
Tobias Uelwer, Sebastian Konietzny, Stefan Harmeling
Phase retrieval is the problem of reconstructing images from magnitude-only measurements. In many real-world applications the problem is underdetermined. When training data is avai…