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Daniel Seichter
Daniel Seichter
在 tu-ilmenau.de 的电子邮件经过验证 - 首页
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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
3652017
Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis
D Seichter, M Köhler, B Lewandowski, T Wengefeld, HM Gross
2021 IEEE International Conference on Robotics and Automation (ICRA), 13525 …, 2021
2172021
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
342019
Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments
D Seichter, SB Fischedick, M Köhler, HM Groß
2022 International Joint Conference on Neural Networks (IJCNN), 1-10, 2022
272022
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
252016
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
232016
Road Surface Segmentation – Pixel-Perfect Distress and Object Detection for Road Assessment
R Stricker, D Aganian, M Sesselmann, D Seichter, M Engelhardt, ...
2021 IEEE 17th International Conference on Automation Science and …, 2021
182021
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
172018
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
152019
Multi-task deep learning for depth-based person perception in mobile robotics
D Seichter, B Lewandowski, D Höchemer, T Wengefeld, HM Gross
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
132020
Efficient and Robust Semantic Mapping for Indoor Environments
D Seichter, P Langer, T Wengefeld, B Lewandowski, D Höchemer, ...
2022 International Conference on Robotics and Automation (ICRA), 9221-9227, 2022
92022
Efficient Multi-Task Scene Analysis with RGB-D Transformers
SB Fischedick, D Seichter, R Schmidt, L Rabes, HM Gross
2023 International Joint Conference on Neural Networks (IJCNN), 1-10, 2023
82023
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
72019
Revisiting loss functions for person re-identification
D Aganian, M Eisenbach, J Wagner, D Seichter, HM Gross
Artificial Neural Networks and Machine Learning–ICANN 2021: 30th …, 2021
62021
Speeding up Deep Neural Networks on the Jetson TX1
M Eisenbach, R Stricker, D Seichter, A Vorndran, T Wengefeld, HM Gross
IJCNN-Workshop on Computational Aspects of Pattern Recognition and Computer …, 2017
62017
Enhancing the quality of visual road condition assessment by deep learning
M Eisenbach, R Stricker, M Sesselmann, D Seichter, H Gross
Proceedings of the World Road Congress, Abu Dhabi, United Arab Emirates, 6-10, 2019
52019
PanopticNDT: Efficient and Robust Panoptic Mapping
D Seichter, B Stephan, SB Fischedick, S Müller, L Rabes, HM Gross
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
32023
Bridging Distance with a Collaborative Telepresence Robot for Older Adults–Report on Progress in the CO-HUMANICS Project
SB Fischedick, K Richter, T Wengefeld, D Seichter, A Scheidig, N Doering, ...
ISR Europe 2023; 56th International Symposium on Robotics, 346-353, 2023
32023
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
22021
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
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