Thomas Köhler | DeepAI

AI Chat

Featured Co-authors

Andreas Maier
84 publications
Andre Kaup
37 publications
Christian Riess
29 publications
Ruben Mayer
23 publications
Vincent Christlein
21 publications
Katharina Breininger
15 publications
Kurt Rothermel
15 publications
Tobias Koch
11 publications
Franziska Schirrmacher
9 publications
Andreas K. Maier
9 publications
Sukanya Bhowmik
9 publications

∙ 08/24/2023

LORD: Leveraging Open-Set Recognition with Unknown Data

Handling entirely unknown data is a challenge for any deployed classifie...

0 Tobias Koch, et al. ∙

∙ 05/30/2022

Exploring the Open World Using Incremental Extreme Value Machines

Dynamic environments require adaptive applications. One particular machi...

10 Tobias Koch, et al. ∙

∙ 11/12/2019

Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing

The image signal processing pipeline (ISP) is a core element of digital ...

28 Prashant Chaudhari, et al. ∙

∙ 12/21/2018

Multi-Frame Super-Resolution Reconstruction with Applications to Medical Imaging

The optical resolution of a digital camera is one of its most crucial pa...

18 Thomas Köhler, et al. ∙

∙ 09/17/2018

Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data

Capturing ground truth data to benchmark super-resolution (SR) is challe...

6 Thomas Köhler, et al. ∙

∙ 06/12/2018

P4CEP: Towards In-Network Complex Event Processing

In-network computing using programmable networking hardware is a strong ...

0 Thomas Köhler, et al. ∙

∙ 02/15/2018

Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests

Magnetic resonance imaging (MRI) enables 3-D imaging of anatomical struc...

0 Aline Sindel, et al. ∙

∙ 02/12/2018

Temporal and Volumetric Denoising via Quantile Sparse Image (QuaSI) Prior in Optical Coherence Tomography and Beyond

This paper introduces an universal and structure-preserving regularizati...

0 Franziska Schirrmacher, et al. ∙

∙ 09/08/2017

Benchmarking Super-Resolution Algorithms on Real Data

Over the past decades, various super-resolution (SR) techniques have bee...

0 Thomas Köhler, et al. ∙

∙ 03/08/2017

QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data

Optical coherence tomography (OCT) enables high-resolution and non-invas...

0 Franziska Schirrmacher, et al. ∙

∙ 09/06/2016

Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution

Motion estimation across low-resolution frames and the reconstruction of...

0 Cosmin Bercea, et al. ∙

∙ 02/10/2016

Super-Resolved Retinal Image Mosaicing

The acquisition of high-resolution retinal fundus images with a large fi...

0 Thomas Köhler, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world