Jürgen Seiler

About Jürgen Seiler

Jürgen Seiler, With an exceptional h-index of 14 and a recent h-index of 11 (since 2020), a distinguished researcher at Friedrich-Alexander-Universität Erlangen-Nürnberg, specializes in the field of Signal Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Switchable Dense Motion Vector Field Interpolation

Conditional Residual Coding: A Remedy for Bottleneck Problems in Conditional Inter Frame Coding

Color Agnostic Cross-Spectral Disparity Estimation

A Guided Upsampling Network for Short wave Infrared Images Using Graph Regularization

Synthetic hyperspectral array video database with applications to cross-spectral reconstruction and hyperspectral video coding

Triangulation-Based Adaptive Subsampling of Dense Motion Vector Fields

Image Super-Resolution Using T-Tetromino Pixels

Cross spectral image reconstruction using a deep guided neural network

Jürgen Seiler Information

University

Position

___

Citations(all)

1070

Citations(since 2020)

454

Cited By

808

hIndex(all)

14

hIndex(since 2020)

11

i10Index(all)

36

i10Index(since 2020)

11

Email

University Profile Page

Friedrich-Alexander-Universität Erlangen-Nürnberg

Google Scholar

View Google Scholar Profile

Jürgen Seiler Skills & Research Interests

Signal Processing

Top articles of Jürgen Seiler

Title

Journal

Author(s)

Publication Date

Switchable Dense Motion Vector Field Interpolation

2024/2/8

Conditional Residual Coding: A Remedy for Bottleneck Problems in Conditional Inter Frame Coding

IEEE Transactions on Circuits and Systems for Video Technology

Fabian Brand

Jürgen Seiler

André Kaup

2024/1/29

Color Agnostic Cross-Spectral Disparity Estimation

Frank Sippel

Nils Genser

Hannah Och

Jürgen Seiler

André Kaup

2024/4/14

A Guided Upsampling Network for Short wave Infrared Images Using Graph Regularization

Frank Sippel

Jürgen Seiler

André Kaup

2024/4/14

Synthetic hyperspectral array video database with applications to cross-spectral reconstruction and hyperspectral video coding

JOSA A

Frank Sippel

Jürgen Seiler

André Kaup

2023/3/1

Triangulation-Based Adaptive Subsampling of Dense Motion Vector Fields

2023/2/16

Image Super-Resolution Using T-Tetromino Pixels

Simon Grosche

Andy Regensky

Jürgen Seiler

André Kaup

2023

Cross spectral image reconstruction using a deep guided neural network

Frank Sippel

Jürgen Seiler

André Kaup

2023/10/8

Achieving RGB-D level Segmentation Performance from a Single ToF Camera

arXiv preprint arXiv:2306.17636

Pranav Sharma

Jigyasa Singh Katrolia

Jason Rambach

Bruno Mirbach

Didier Stricker

...

2023/6/30

End-to-End Lidar-Camera Self-Calibration for Autonomous Vehicles

Arya Rachman

Jürgen Seiler

André Kaup

2023/6/4

Camera Self-Calibration: Deep Learning from Driving Scenes

Arya Rachman

Jürgen Seiler

André Kaup

2022/10/16

Orthogonality deficiency compensation for improved frequency selective image extrapolation

arXiv preprint arXiv:2207.09724

Jürgen Seiler

Katrin Meisinger

André Kaup

2022/7/20

P-frame coding with generalized difference: A novel conditional coding approach

Fabian Brand

Jürgen Seiler

André Kaup

2022/10/16

Fast Reconstruction of Three-Quarter Sampling Measurements Using Recurrent Local Joint Sparse Deconvolution and Extrapolation

IEEE Transactions on Circuits and Systems II: Express Briefs

Simon Grosche

Andy Regensky

Alexander Sinn

Jürgen Seiler

André Kaup

2022/3/16

Domain Adaptation for Unknown Image Distortions in Instance Segmentation

Maximiliane Gruber

Fabian Brand

Alina Mosebach

Jürgen Seiler

André Kaup

2022/10/16

Forensic license plate recognition with compression-informed transformers

Denise Moussa

Anatol Maier

Andreas Spruck

Jürgen Seiler

Christian Riess

2022/10/15

On benefits and challenges of conditional interframe video coding in light of information theory

Fabian Brand

Jürgen Seiler

André Kaup

2022/12/7

Synthesizing Annotated Image and Video Data Using a Rendering-Based Pipeline for Improved License Plate Recognition

arXiv preprint arXiv:2209.14448

Andreas Spruck

Maximilane Gruber

Anatol Maier

Denise Moussa

Jürgen Seiler

...

2022/9/28

Reliability Scoring for the Recognition of Degraded License Plates*

Anatol Maier

Denise Moussa

Andreas Spruck

Jürgen Seiler

Christian Riess

2022/11/29

Optimal Filter Selection for Multispectral Object Classification Using Fast Binary Search

Frank Sippel

Jürgen Seiler

André Kaup

2022/9/26

See List of Professors in Jürgen Seiler University(Friedrich-Alexander-Universität Erlangen-Nürnberg)