Daniel Seichter
Title
Cited by
Cited by
Year
How to get pavement distress detection ready for deep learning? A systematic approach
M Eisenbach, R Stricker, D Seichter, K Amende, K Debes, M Sesselmann, ...
2017 international joint conference on neural networks (IJCNN), 2039-2047, 2017
942017
Cooperative multi-scale convolutional neural networks for person detection
M Eisenbach, D Seichter, T Wengefeld, HM Gross
2016 International Joint Conference on Neural Networks (IJCNN), 267-276, 2016
222016
AAC Encoding Detection and Bitrate Estimation using a Convolutional Neural Network
D Seichter, L Cuccovillo, P Aichroth
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
192016
Deep Orientation: Fast and Robust Upper Body Orientation Estimation for Mobile Robotic Applications.
B Lewandowski, D Seichter, T Wengefeld, L Pfennig, H Drumm, HM Gross
IROS, 441-448, 2019
82019
How to improve deep learning based pavement distress detection while minimizing human effort
D Seichter, M Eisenbach, R Stricker, HM Gross
2018 IEEE 14th International Conference on Automation Science and …, 2018
82018
Real-time person orientation estimation using colored pointclouds
T Wengefeld, B Lewandowski, D Seichter, L Pfennig, HM Gross
2019 European Conference on Mobile Robots (ECMR), 1-7, 2019
62019
Speeding up deep neural networks on the jetson TX1
M Eisenbach, R Stricker, D Seichter, A Vorndran, T Wengefeld, HM Gross
CAPRI 2017 11, 2017
42017
Multi-Task Deep Learning for Depth-based Person Perception in Mobile Robotics
D Seichter, B Lewandowski, D Höchemer, T Wengefeld, HM Gross
IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS). IEEE, 10, 2020
12020
Are Color Features Important for Person Detection?–Insights into Features Learned by Deep Convolutional Neural Networks
M Eisenbach, D Seichter, HM Groß
German Workshop Farbbildverarbeitung (FWS), 169-182, 2016
12016
Real-time person orientation estimation and tracking using colored point clouds
T Wengefeld, B Lewandowski, D Seichter, L Pfennig, S Müller, HM Gross
Robotics and Autonomous Systems 135, 103665, 2021
2021
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
D Seichter, M Köhler, B Lewandowski, T Wengefeld, HM Gross
arXiv preprint arXiv:2011.06961, 2020
2020
Cross-Talk Compensation in Low-Cost Resistive Pressure Matrix Sensors
S Müller, D Seichter, HM Gross
2019 IEEE International Conference on Mechatronics (ICM) 1, 232-237, 2019
2019
Enhancing the quality of visual road condition assessment by Deep Learning
M Eisenbach, R Stricker, M Sesselmann, D Seichter, HM Gross
26th World Road CongressWorld Road Association (PIARC), 2019
2019
Intelligentes inkrementelles Lernen für Deep-Learning-Ansätze
D Seichter
Technische Universität Ilmenau, 2017
2017
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