Tim Fingscheidt

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 167

Top Venues

CoRR

ICASSP

CVPR Workshops

ITG Symposium on Speech Communication

Publications

Ziyi Xu, Marvin Sach, Jan Pirklbauer, Tim Fingscheidt
Employing Real Training Data for Deep Noise Suppression. ICASSP (2024)
Danish Nazir, Timo Bartels, Jan Piewek, Thorsten Bagdonat, Tim Fingscheidt
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding. CoRR (2024)
Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation. WACV (2024)
Ernst Seidel, Pejman Mowlaee, Tim Fingscheidt
Convergence and Performance Analysis of Classical, Hybrid, and Deep Acoustic Echo Control. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Ernst Seidel, Pejman Mowlaee, Tim Fingscheidt
Efficient High-Performance Bark-Scale Neural Network for Residual Echo and Noise Suppression. ICASSP (2024)
Wangyou Zhang, Robin Scheibler, Kohei Saijo, Samuele Cornell, Chenda Li, Zhaoheng Ni, Anurag Kumar, Jan Pirklbauer, Marvin Sach, Shinji Watanabe, Tim Fingscheidt, Yanmin Qian
URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement. CoRR (2024)
Zhengyang Li, Chenwei Liang, Timo Lohrenz, Marvin Sach, Björn Möller, Tim Fingscheidt
An Efficient and Noise-Robust Audiovisual Encoder for Audiovisual Speech Recognition. INTERSPEECH (2023)
Ziyi Xu, Ziyue Zhao, Tim Fingscheidt
Coded Speech Quality Measurement by a Non-Intrusive PESQ-DNN. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Ziyi Xu, Ziyue Zhao, Tim Fingscheidt
Coded Speech Quality Measurement by a Non-Intrusive PESQ-DNN. CoRR (2023)
Jasmin Breitenstein, Florian Heidecker, Maria Lyssenko, Daniel Bogdoll, Maarten Bieshaar, J. Marius Zöllner, Bernhard Sick, Tim Fingscheidt
What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving. ICCV (Workshops) (2023)
Marvin Sach, Jan Franzen, Bruno Defraene, Kristoff Fluyt, Maximilian Strake, Wouter Tirry, Tim Fingscheidt
EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement. INTERSPEECH (2023)
Timo Lohrenz, Björn Möller, Zhengyang Li, Tim Fingscheidt
Relaxed Attention for Transformer Models. IJCNN (2023)
Jan-Aike Termöhlen, Timo Bartels, Tim Fingscheidt
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation. ICCV (Workshops) (2023)
Jasmin Breitenstein, Kangdong Jin, Aziz Hakiri, Marvin Klingner, Tim Fingscheidt
End-to-end Amodal Video Instance Segmentation. BMVC Workshop (2023)
Jan-Aike Termöhlen, Timo Bartels, Tim Fingscheidt
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation. CoRR (2023)
Andreas Bär, Jonas Uhrig, Jeethesh Pai Umesh, Marius Cordts, Tim Fingscheidt
A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection. CVPR Workshops (2023)
Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. CoRR (2023)
Ziyi Xu, Marvin Sach, Jan Pirklbauer, Tim Fingscheidt
Employing Real Training Data for Deep Noise Suppression. CoRR (2023)
Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. IEEE Access 11 (2023)
Ernst Seidel, Pejman Mowlaee, Tim Fingscheidt
Efficient Deep Acoustic Echo Suppression with Condition-Aware Training. WASPAA (2023)
Bidya Dash, Shreyas Bilagi, Jasmin Breitenstein, Volker Schomerus, Thorsten Bagdonat, Tim Fingscheidt
Deep Long Term Prediction for Semantic Segmentation in Autonomous Driving. AALTD@ECML/PKDD (2023)
Björn Möller, Jan Pirklbauer, Marvin Klingner, Peer Kasten, Markus Etzkorn, Tim J. Seifert, Uta Schlickum, Tim Fingscheidt
A Super-Resolution Training Paradigm Based on Low-Resolution Data Only to Surpass the Technical Limits of STEM and STM Microscopy. CVPR Workshops (2023)
Andreas Bär, Daniel Kusuma, Tim Fingscheidt
Improvements to Image Reconstruction-Based Performance Prediction for Semantic Segmentation in Highly Automated Driving. CVPR Workshops (2023)
Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation. CoRR (2023)
Zhengyang Li, Thomas Graave, Jing Liu, Timo Lohrenz, Siegfried Kunzmann, Tim Fingscheidt
Parameter-Efficient Cross-Language Transfer Learning for a Language-Modular Audiovisual Speech Recognition. ASRU (2023)
Jonas Löhdefink, Tim Fingscheidt
Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Space. CoRR (2022)
Ziyi Xu, Maximilian Strake, Tim Fingscheidt
Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ Does, But ACR Listening Tests Don't. CoRR (2022)
Marvin Klingner, Mouadh Ayache, Tim Fingscheidt
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation. CoRR (2022)
Jasmin Breitenstein, Tim Fingscheidt
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline. CoRR (2022)
Andreas Bär, Marvin Klingner, Jonas Löhdefink, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder. CVPR Workshops (2022)
Jan Franzen, Tim Fingscheidt
Deep Residual Echo Suppression and Noise Reduction: A Multi-Input FCRN Approach in a Hybrid Speech Enhancement System. ICASSP (2022)
Zhengyang Li, Timo Lohrenz, Matthias Dunkelberg, Tim Fingscheidt
Transformer-Based Lip-Reading with Regularized Dropout and Relaxed Attention. SLT (2022)
Timo Lohrenz, Björn Möller, Zhengyang Li, Tim Fingscheidt
Relaxed Attention for Transformer Models. CoRR (2022)
Ernst Seidel, Rasmus Kongsgaard Olsson, Karim Haddad, Zhengyang Li, Pejman Mowlaee, Tim Fingscheidt
Bandwidth-Scalable Fully Mask-Based Deep FCRN Acoustic Echo Cancellation and Postfiltering. IWAENC (2022)
Christopher Plachetka, Benjamin Sertolli, Jenny Fricke, Marvin Klingner, Tim Fingscheidt
3DHD CityScenes: High-Definition Maps in High-Density Point Clouds. ITSC (2022)
Jasmin Breitenstein, Tim Fingscheidt
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline. IV (2022)
Jasmin Breitenstein, Jonas Löhdefink, Tim Fingscheidt
Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving. ECCV Workshops (1) (2022)
Marvin Klingner, Jan-Aike Termöhlen, Jacob Ritterbach, Tim Fingscheidt
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations. WACV (Workshops) (2022)
Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Markus Bach, Stefan Milz, Tim Fingscheidt, Patrick Mäder
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Marvin Klingner, Varun Ravi Kumar, Senthil Kumar Yogamani, Andreas Bär, Tim Fingscheidt
Detecting Adversarial Perturbations in Multi-Task Perception. IROS (2022)
Ziyi Xu, Maximilian Strake, Tim Fingscheidt
Deep Noise Suppression Maximizing Non-Differentiable PESQ Mediated by a Non-Intrusive PESQNet. IEEE ACM Trans. Audio Speech Lang. Process. 30 (2022)
Marvin Klingner, Mouadh Ayache, Tim Fingscheidt
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
Jonas Löhdefink, Jonas Sitzmann, Andreas Bär, Tim Fingscheidt
Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression. CVPR Workshops (2022)
Marvin Klingner, Konstantin Müller, Mona Mirzaie, Jasmin Breitenstein, Jan-Aike Termöhlen, Tim Fingscheidt
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models. CoRR (2022)
Maximilian Strake, Adrian Behlke, Tim Fingscheidt
Self-Attention With Restricted Time Context And Resolution In Dnn Speech Enhancement. IWAENC (2022)
Ernst Seidel, Rasmus Kongsgaard Olsson, Karim Haddad, Zhengyang Li, Pejman Mowlaee, Tim Fingscheidt
Bandwidth-Scalable Fully Mask-Based Deep FCRN Acoustic Echo Cancellation and Postfiltering. CoRR (2022)
Marvin Klingner, Varun Ravi Kumar, Senthil Kumar Yogamani, Andreas Bär, Tim Fingscheidt
Detecting Adversarial Perturbations in Multi-Task Perception. CoRR (2022)
Bile Peng, Jan-Aike Termöhlen, Cong Sun, Danping He, Ke Guan, Tim Fingscheidt, Eduard A. Jorswieck
Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Network. CoRR (2022)
Marvin Klingner, Konstantin Müller, Mona Mirzaie, Jasmin Breitenstein, Jan-Aike Termöhlen, Tim Fingscheidt
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models. CVPR Workshops (2022)
Ziyi Xu, Maximilian Strake, Tim Fingscheidt
Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ Does, But ACR Listening Tests Don't. IWAENC (2022)
Antonia Breuer, Quy Le Xuan, Jan-Aike Termöhlen, Silviu Homoceanu, Tim Fingscheidt
Quo Vadis? Meaningful Multiple Trajectory Hypotheses Prediction in Autonomous Driving. ITSC (2021)
Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Markus Bach, Stefan Milz, Tim Fingscheidt, Patrick Mäder
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. CoRR (2021)
Jan Franzen, Ernst Seidel, Tim Fingscheidt
AEC in A Netshell: on Target and Topology Choices for FCRN Acoustic Echo Cancellation. ICASSP (2021)
Marvin Klingner, Tim Fingscheidt
Online Performance Prediction of Perception DNNs by Multi-Task Learning With Depth Estimation. IEEE Trans. Intell. Transp. Syst. 22 (7) (2021)
Timo Lohrenz, Patrick Schwarz, Zhengyang Li, Tim Fingscheidt
Multi-Head Fusion Attention for Transformer-Based End-to-End Automatic Speech Recognition. ITG Conference on Speech Communication (2021)
Ernst Seidel, Jan Franzen, Maximilian Strake, Tim Fingscheidt
-Net FCRN for Acoustic Echo and Noise Suppression. Interspeech (2021)
Christopher Plachetka, Jenny Fricke, Marvin Klingner, Tim Fingscheidt
DNN-Based Recognition of Pole-Like Objects in LiDAR Point Clouds. ITSC (2021)
Andreas Bär, Jonas Löhdefink, Nikhil Kapoor, Serin J. Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing. CoRR (2021)
Timo Lohrenz, Zhengyang Li, Tim Fingscheidt
Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition. CoRR (2021)
Ziyi Xu, Maximilian Strake, Tim Fingscheidt
Deep Noise Suppression Maximizing Non-Differentiable PESQ Mediated by a Non-Intrusive PESQNet. CoRR (2021)
Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Mäder
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. WACV (2021)
Ziyi Xu, Maximilian Strake, Tim Fingscheidt
Deep Noise Suppression with Non-Intrusive PESQNet Supervision Enabling the Use of Real Training Data. Interspeech (2021)
Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. CoRR (2021)
Jan-Aike Termöhlen, Marvin Klingner, Leon J. Brettin, Nico M. Schmidt, Tim Fingscheidt
Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer. ITSC (2021)
Jasmin Breitenstein, Jan-Aike Termöhlen, Daniel Lipinski, Tim Fingscheidt
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches. CoRR (2021)
Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. CoRR (2021)
Marvin Klingner, Andreas Bär, Marcel Mross, Tim Fingscheidt
Improving Online Performance Prediction for Semantic Segmentation. CVPR Workshops (2021)
Timo Lohrenz, Patrick Schwarz, Zhengyang Li, Tim Fingscheidt
Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition. CoRR (2021)
Andreas Bär, Jonas Löhdefink, Nikhil Kapoor, Serin Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing. IEEE Signal Process. Mag. 38 (1) (2021)
Timo Lohrenz, Zhengyang Li, Tim Fingscheidt
Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition. Interspeech (2021)
Marvin Klingner, Andreas Bär, Marcel Mross, Tim Fingscheidt
Improving Online Performance Prediction for Semantic Segmentation. CoRR (2021)
Serin Varghese, Sharat Gujamagadi, Marvin Klingner, Nikhil Kapoor, Andreas Bär, Jan David Schneider, Kira Maag, Peter Schlicht, Fabian Hüger, Tim Fingscheidt
An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks. CVPR Workshops (2021)
Jasmin Breitenstein, Andreas Bär, Daniel Lipinski, Tim Fingscheidt
Detection of Collective Anomalies in Images for Automated Driving Using an Earth Mover's Deviation (EMDEV) Measure. IV Workshops (2021)
Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. IV (2021)
Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner
Description of Corner Cases in Automated Driving: Goals and Challenges. ICCVW (2021)
Ziyi Xu, Samy Elshamy, Ziyue Zhao, Tim Fingscheidt
Components loss for neural networks in mask-based speech enhancement. EURASIP J. Audio Speech Music. Process. 2021 (1) (2021)
Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner
Description of Corner Cases in Automated Driving: Goals and Challenges. CoRR (2021)
Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation. IJCNN (2021)
Jan Baumann, Patrick Meyer, Timo Lohrenz, Alexander Roy, Michael Papendieck, Tim Fingscheidt
A New DCASE 2017 Rare Sound Event Detection Benchmark Under Equal Training Data: CRNN With Multi-Width Kernels. ICASSP (2021)
Timo Lohrenz, Patrick Schwarz, Zhengyang Li, Tim Fingscheidt
Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition. ASRU (2021)
Ernst Seidel, Jan Franzen, Maximilian Strake, Tim Fingscheidt
Y$^2$-Net FCRN for Acoustic Echo and Noise Suppression. CoRR (2021)
Patrick Meyer, Ziyi Xu, Tim Fingscheidt
Improving Convolutional Recurrent Neural Networks for Speech Emotion Recognition. SLT (2021)
Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt
Self-Supervised Domain Mismatch Estimation for Autonomous Perception. CoRR (2020)
Marvin Klingner, Jan-Aike Termöhlen, Jonas Mikolajczyk, Tim Fingscheidt
Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance. ECCV (20) (2020)
Antonia Breuer, Jan-Aike Termöhlen, Silviu Homoceanu, Tim Fingscheidt
openDD: A Large-Scale Roundabout Drone Dataset. ITSC (2020)
Jasmin Breitenstein, Jan-Aike Termöhlen, Daniel Lipinski, Tim Fingscheidt
Systematization of Corner Cases for Visual Perception in Automated Driving. IV (2020)
Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs. CoRR (2020)
Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt
Focussing Learned Image Compression to Semantic Classes for V2X Applications. IV (2020)
Timo Lohrenz, Tim Fingscheidt
BLSTM-Driven Stream Fusion for Automatic Speech Recognition: Novel Methods and a Multi-Size Window Fusion Example. INTERSPEECH (2020)
Christopher Plachetka, Niels Maier, Jenny Fricke, Jan-Aike Termöhlen, Tim Fingscheidt
Terminology and Analysis of Map Deviations in Urban Domains: Towards Dependability for HD Maps in Automated Vehicles. IV (2020)
Patrick Meyer, Samy Elshamy, Tim Fingscheidt
Multichannel speaker interference reduction using frequency domain adaptive filtering. EURASIP J. Audio Speech Music. Process. 2020 (1) (2020)
Ziyi Xu, Samy Elshamy, Tim Fingscheidt
Using Separate Losses for Speech and Noise in Mask-Based Speech Enhancement. ICASSP (2020)
Serin Varghese, Yasin Bayzidi, Andreas Bär, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico M. Schmidt, Peter Schlicht, Fabian Hüger, Tim Fingscheidt
Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving. CVPR Workshops (2020)
Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Maeder
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. CoRR (2020)
Marvin Klingner, Andreas Bär, Tim Fingscheidt
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation. CVPR Workshops (2020)
Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt
Self-Supervised Domain Mismatch Estimation for Autonomous Perception. CVPR Workshops (2020)
Atiye Sadat Hashemi, Andreas Bär, Saeed Mozaffari, Tim Fingscheidt
Transferable Universal Adversarial Perturbations Using Generative Models. CoRR (2020)
Marvin Klingner, Andreas Bär, Tim Fingscheidt
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation. CoRR (2020)
Marvin Klingner, Jan-Aike Termöhlen, Jacob Ritterbach, Tim Fingscheidt
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations. CoRR (2020)
Jan Baumann, Timo Lohrenz, Alexander Roy, Tim Fingscheidt
Beyond the Dcase 2017 Challenge on Rare Sound Event Detection: A Proposal for a More Realistic Training and Test Framework. ICASSP (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tim Fingscheidt