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Dennis Burgermeister

Dennis Ludl

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affiliation (PhD 2023): University of Tübingen, Germany

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Books and Theses

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2023
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Dennis Burgermeister:
Data simulation in deep learning-based human recognition. University of Tübingen, Germany, 2023

Journal Articles

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2020
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Dennis Ludl, Thomas Gulde, Cristóbal Curio:
Enhancing Data-Driven Algorithms for Human Pose Estimation and Action Recognition Through Simulation. IEEE Trans. Intell. Transp. Syst. 21(9): 3990-3999 (2020)

Conference and Workshop Papers

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2022
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Dennis Burgermeister, Cristóbal Curio:
PedRecNet: Multi-task deep neural network for full 3D human pose and orientation estimation. IV 2022: 441-448
2019
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Michael Essich, Dennis Ludl, Thomas Gulde, Cristóbal Curio:
Learning to Translate Between Real World and Simulated 3D Sensors While Transferring Task Models. 3DV 2019: 681-689
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Thomas Gulde, Dennis Ludl, Johann Andrejtschik, Salma Thalji, Cristóbal Curio:
RoPose-Real: Real World Dataset Acquisition for Data-Driven Industrial Robot Arm Pose Estimation. ICRA 2019: 4389-4395
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Dennis Ludl, Thomas Gulde, Cristóbal Curio:
Simple yet efficient real-time pose-based action recognition. ITSC 2019: 581-588
2018
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Thomas Gulde, Dennis Ludl, Cristóbal Curio:
RoPose: CNN-based 2D Pose Estimation of Industrial Robots. CASE 2018: 463-470
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Dennis Ludl, Thomas Gulde, Salma Thalji, Cristóbal Curio:
Using Simulation to Improve Human Pose Estimation for Corner Cases. ITSC 2018: 3575-3582
2012
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Malte Jannasch, Dennis Ludl, Claudia Vöhringer:
Low-Cost NUI. Informatiktage 2012: 107-110

Informal and Other Publications

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2022
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Dennis Burgermeister, Cristóbal Curio:
PedRecNet: Multi-task deep neural network for full 3D human pose and orientation estimation. CoRR abs/2204.11548 (2022)
2019
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Dennis Ludl, Thomas Gulde, Cristóbal Curio:
Simple yet efficient real-time pose-based action recognition. CoRR abs/1904.09140 (2019)

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