Tim Fingscheidt
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Self-supervised monocular depth estimation: Solving the dynamic object problem by semantic guidance
M Klingner, JA Termöhlen, J Mikolajczyk, T Fingscheidt
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Softbit Speech Decoding: A New Approach to Error Concealment
T Fingscheidt, P Vary
IEEE Transactions on Speech and Audio Processing 9 (3), 240-251, 2001
Towards corner case detection for autonomous driving
JA Bolte, A Bar, D Lipinski, T Fingscheidt
2019 IEEE Intelligent vehicles symposium (IV), 438-445, 2019
A computational analysis of the neural bases of Bayesian inference
A Kolossa, B Kopp, T Fingscheidt
Neuroimage 106, 222-237, 2015
Robust Speech Decoding: A Universal Approach to Bit Error Concealment
T Fingscheidt, P Vary
1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997
A Data-Driven Approach to A Priori SNR Estimation
S Suhadi, C Last, T Fingscheidt
IEEE Transactions on Audio, Speech, and Language Processing 19 (1), 186-195, 2011
Syndistnet: Self-supervised monocular fisheye camera distance estimation synergized with semantic segmentation for autonomous driving
VR Kumar, M Klingner, S Yogamani, S Milz, T Fingscheidt, P Mader
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021
Convolutional neural networks to enhance coded speech
Z Zhao, H Liu, T Fingscheidt
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (4), 663-678, 2018
A model-based approach to trial-by-trial P300 amplitude fluctuations
A Kolossa, T Fingscheidt, K Wessel, B Kopp
Frontiers in human neuroscience 6, 359, 2013
Environment-Optimized Speech Enhancement
T Fingscheidt, S Suhadi, S Stan
IEEE transactions on audio, speech, and language processing 16 (4), 825-834, 2008
Joint Source-Channel (De-) Coding for Mobile Communications
T Fingscheidt, T Hindelang, RV Cox, N Seshadri
IEEE Transactions on Communications 50 (2), 200-212, 2002
Artificial speech bandwidth extension using deep neural networks for wideband spectral envelope estimation
J Abel, T Fingscheidt
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (1), 71-83, 2017
Inspect, understand, overcome: A survey of practical methods for ai safety
S Houben, S Abrecht, M Akila, A Bär, F Brockherde, P Feifel, ...
Deep Neural Networks and Data for Automated Driving: Robustness, Uncertainty …, 2022
Systematization of corner cases for visual perception in automated driving
J Breitenstein, JA Termöhlen, D Lipinski, T Fingscheidt
2020 IEEE Intelligent Vehicles Symposium (IV), 1257-1264, 2020
Fully convolutional recurrent networks for speech enhancement
M Strake, B Defraene, K Fluyt, W Tirry, T Fingscheidt
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
P300 amplitude variations, prior probabilities, and likelihoods: A Bayesian ERP study
B Kopp, C Seer, F Lange, A Kluytmans, A Kolossa, T Fingscheidt, ...
Cognitive, Affective, & Behavioral Neuroscience 16, 911-928, 2016
Unsupervised domain adaptation to improve image segmentation quality both in the source and target domain
JA Bolte, M Kamp, A Breuer, S Homoceanu, P Schlicht, F Huger, ...
proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
Survey of speech enhancement supported by a bone conduction microphone
HS Shin, HG Kang, T Fingscheidt
Speech Communication; 10. ITG Symposium, 1-4, 2012
openDD: A large-scale roundabout drone dataset
A Breuer, JA Termöhlen, S Homoceanu, T Fingscheidt
2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020
Class-incremental learning for semantic segmentation re-using neither old data nor old labels
M Klingner, A Bär, P Donn, T Fingscheidt
2020 IEEE 23rd international conference on intelligent transportation …, 2020
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