Tim Fingscheidt

Tim Fingscheidt

Technische Universität Braunschweig

H-index: 32

Europe-Germany

About Tim Fingscheidt

Tim Fingscheidt, With an exceptional h-index of 32 and a recent h-index of 27 (since 2020), a distinguished researcher at Technische Universität Braunschweig, specializes in the field of Automatic Speech Recognition, Speech Enhancement, Acoustic Signal Processing, Speech Processing.

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

Network architecture for a three-dimensional object detection in a point cloud, method and vehicle

Efficient High-Performance Bark-Scale Neural Network for Residual Echo and Noise Suppression

Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation

Employing Real Training Data for Deep Noise Suppression

DNN-based map deviation detection in LiDAR point clouds

„End-to-end Amodal Video Instance Segmentation “

Deep Long Term Prediction for Semantic Segmentation in Autonomous Driving

Methods, systems and computer programs for processing image data for generating a filter

Tim Fingscheidt Information

University

Position

___

Citations(all)

4418

Citations(since 2020)

2678

Cited By

2476

hIndex(all)

32

hIndex(since 2020)

27

i10Index(all)

124

i10Index(since 2020)

77

Email

University Profile Page

Technische Universität Braunschweig

Google Scholar

View Google Scholar Profile

Tim Fingscheidt Skills & Research Interests

Automatic Speech Recognition

Speech Enhancement

Acoustic Signal Processing

Speech Processing

Top articles of Tim Fingscheidt

Title

Journal

Author(s)

Publication Date

Network architecture for a three-dimensional object detection in a point cloud, method and vehicle

2024/4/11

Efficient High-Performance Bark-Scale Neural Network for Residual Echo and Noise Suppression

Ernst Seidel

Pejman Mowlaee

Tim Fingscheidt

2024/4/14

Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation

Joshua Niemeijer

Manuel Schwonberg

Jan-Aike Termöhlen

Nico M Schmidt

Tim Fingscheidt

2024

Employing Real Training Data for Deep Noise Suppression

Ziyi Xu

Marvin Sach

Jan Pirklbauer

Tim Fingscheidt

2024/4/14

DNN-based map deviation detection in LiDAR point clouds

IEEE Open Journal of Intelligent Transportation Systems

Christopher Plachetka

Benjamin Sertolli

Jenny Fricke

Marvin Klingner

Tim Fingscheidt

2023/7/11

„End-to-end Amodal Video Instance Segmentation “

Proc. of BMVC-Workshops

Jasmin Breitenstein

Kangdong Jin

Aziz Hakiri

Marvin Klingner

Tim Fingscheidt

2023

Deep Long Term Prediction for Semantic Segmentation in Autonomous Driving

Bidya Dash

Shreyas Bilagi

Jasmin Breitenstein

Volker Schomerus

Thorsten Bagdonat

...

2023/9/18

Methods, systems and computer programs for processing image data for generating a filter

2023/10/12

Parameter-efficient cross-language transfer learning for a language-modular audiovisual speech recognition

Zhengyang Li

Thomas Graave

Jing Liu

Timo Lohrenz

Siegfried Kunzmann

...

2023/12/16

What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving

Jasmin Breitenstein

Florian Heidecker

Maria Lyssenko

Daniel Bogdoll

Maarten Bieshaar

...

2023

Relaxed attention for transformer models

Timo Lohrenz

Björn Möller

Zhengyang Li

Tim Fingscheidt

2023/6/18

A Maximum Entropy Information Bottleneck (MEIB) Regularization for Generative Speech Enhancement with HiFi-GAN

Marvin Sach

Jan Pirklbauer

Kristoff Fluyt

Wouter Tirry

Tim Fingscheidt

2023/9/20

A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation

Jan-Aike Termöhlen

Timo Bartels

Tim Fingscheidt

2023

EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement

arXiv preprint arXiv:2306.02778

Marvin Sach

Jan Franzen

Bruno Defraene

Kristoff Fluyt

Maximilian Strake

...

2023/6/5

Evaluation Metrics for Generative Speech Enhancement Methods: Issues and Perspectives

Jan Pirklbauer

Marvin Sach

Kristoff Fluyt

Wouter Tirry

Wafaa Wardah

...

2023/9/20

A Super-Resolution Training Paradigm Based on Low-Resolution Data Only to Surpass the Technical Limits of STEM and STM Microscopy

Björn Möller

Jan Pirklbauer

Marvin Klingner

Peer Kasten

Markus Etzkorn

...

2023

An Efficient and Noise-Robust Audiovisual Encoder for Audiovisual Speech Recognition

Zhengyang Li

Chenwei Liang

Timo Lohrenz

Marvin Sach

Björn Möller

...

2023/8

Survey on unsupervised domain adaptation for semantic segmentation for visual perception in automated driving

IEEE Access

Manuel Schwonberg

Joshua Niemeijer

Jan-Aike Termöhlen

Jörg P Schäfer

Nico M Schmidt

...

2023/5/18

Coded Speech Quality Measurement by a Non-Intrusive PESQ-DNN

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Ziyi Xu

Ziyue Zhao

Tim Fingscheidt

2023/9/20

Efficient Deep Acoustic Echo Suppression with Condition-Aware Training

Ernst Seidel

Pejman Mowlaee

Tim Fingscheidt

2023/10/22

See List of Professors in Tim Fingscheidt University(Technische Universität Braunschweig)

Co-Authors

H-index: 67
Nambi seshadri

Nambi seshadri

University of California, San Diego

H-index: 56
Israel Cohen

Israel Cohen

Technion - Israel Institute of Technology

H-index: 48
Sebastian Möller

Sebastian Möller

Technische Universität Berlin

H-index: 35
Radu Balan

Radu Balan

University of Maryland, Baltimore

H-index: 32
Florian Lange

Florian Lange

Katholieke Universiteit Leuven

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