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Tai Fei
Tai Fei
Dortmund University of Applied Science and Arts (FH Dortmund)
在 fh-dortmund.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Real-Time Radar-Based Gesture Detection and Recognition Built in an Edge-Computing Platform
Y Sun, T Fei, X Li, A Warnecke, E Warsitz, N Pohl
IEEE Sensors Journal, 1-11, 2020
1022020
Contributions to automatic target recognition systems for underwater mine classification
T Fei, D Kraus, AM Zoubir
IEEE Transactions on Geoscience and Remote Sensing 53 (1), 505-518, 2014
642014
Gesture Classification with Handcrafted Micro-Doppler Features using a FMCW Radar
Y Sun, T Fei, F Schliep, N Pohl
2018 IEEE MTT-S International Conference on Microwaves for Intelligent …, 2018
552018
Automatic Radar-based Gesture Detection and Classification via a Region-based Deep Convolutional Neural Network
Y Sun, T Fei, S Gao, N Pohl
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and …, 2019
322019
A High-Resolution Framework for Range-Doppler Frequency Estimation in Automotive Radar Systems
Y Sun, T Fei, N Pohl
IEEE Sensors Journal 19 (23), 11346-11358, 2019
212019
Automotive radar interference reduction based on sparse Bayesian learning
S Chen, J Taghia, U Kühnau, T Fei, F Grünhaupt, R Martin
2020 IEEE Radar Conference (RadarConf20), 1-6, 2020
162020
A DNN autoencoder for automotive radar interference mitigation
S Chen, J Taghia, T Fei, U Kühnau, N Pohl, R Martin
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
152021
Warping of radar data into camera image for cross-modal supervision in automotive applications
C Grimm, T Fei, E Warsitz, R Farhoud, T Breddermann, R Haeb-Umbach
IEEE Transactions on Vehicular Technology 71 (9), 9435-9449, 2022
122022
Multi-Feature Encoder for Radar-Based Gesture Recognition
Y Sun, T Fei, X Li, A Warnecke, E Warsitz, N Pohl
2020 IEEE International Radar Conference, 2020
122020
An efficient sparse sensing based interference mitigation approach for automotive radar
T Fei, H Guang, Y Sun, C Grimm, E Warsitz
2020 17th European Radar Conference (EuRAD), 274-277, 2021
102021
Hypothesis test for the detection of moving targets in automotive radar
C Grimm, T Breddermann, R Farhoud, T Fei, E Warsitz, R Haeb-Umbach
2017 IEEE International Conference on Microwaves, Antennas, Communications …, 2017
92017
An expectation-maximization approach assisted by dempster-shafer theory and its application to sonar image segmentation
T Fei, D Kraus
2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012
92012
Localization and characterization of a gas bubble stream at a Congo deep water seep site using a 3D gridding approach on single-beam echosounder data
S Wenau, V Spiess, H Keil, T Fei
Marine and Petroleum Geology, 2018
82018
DISCRIMINATION OF STATIONARY FROM MOVING TARGETS WITH RECURRENT NEURAL NETWORKS IN AUTOMOTIVE RADAR
C Grimm, T Breddermann, R Farhoud, T Fei, E Warsitz, R Haeb-Umbach
International Conference on Microwaves for Intelligent Mobility (ICMIM2018), 2018
72018
A novel target separation algorithm applied to the two-dimensional spectrum for FMCW automotive radar systems
T Fei, C Grimm, R Farhoud, T Breddermann, E Warsitz, R Häb-Umbach
2017 IEEE International Conference on Microwaves, Antennas, Communications …, 2017
72017
Detection of moving targets in automotive radar with distorted ego-velocity information
C Grimm, R Farhoud, T Fei, E Warsitz, R Haeb-Umbach
2017 IEEE Microwaves, Radar and Remote Sensing Symposium (MRRS), 111-116, 2017
72017
A hybrid relevance measure for feature selection and its application to underwater objects recognition
T Fei, D Kraus, AM Zoubir
2012 19th IEEE International Conference on Image Processing, 97-100, 2012
72012
Two-Dimensional Subspace-Based Model Order Selection Methods for FMCW Automotive Radar Systems
Y Sun, T Fei, N Pohl
2018 Asia-Pacific Microwave Conference (APMC), 2018
62018
Dempster-shafer evidence theory supported EM approach for sonar image segmentation
T Fei, D Kraus
Communication, Signal Processing & Information Technology 4, 93, 2017
52017
A new idea on feature selection and its application to the underwater object recognition
T Fei, D Kraus, P Berkel
Proceedings of Meetings on Acoustics 17 (1), 2012
52012
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