Curriculum Vitae


Education

Year
Degree
School
Subject
2011-2014
Bachelor of Science
Technische Universität Ilmenau
Computer Science (Minor: Mathematics)
2014-2016
Master of Science
Technische Universität Ilmenau
Computer Science (Focus: Cognitive Systems & Robotics)

Work experience

Year
Company
Position
2015-2016
Bayerische Motoren Werke AG, Munich
Intern (6 months)
Main topics: Dynamic Bayesian Networks, Machine Learning, Clustering, Cloud Services, Java
since 2017
Karlsruhe Institute of Technology, Karlsruhe
Research Assistant
Main topics: Computer Vision, Machine/Deep Learning, Anomaly Detection, Crowd Analysis

Skills & Interests

Machine Learning
Deep Learning
Keras
Tensorflow
PyTorch
scikit-learn
Computer Vision
Cognitive Systems
Anomaly Detection
Crowd Analysis
Human Pose Estimation
C++
Qt 5
Python 2 & 3

Publications

Dawei Du, Longyin Wen, Pengfei Zhu, Heng Fan, Qinghua Hu, Haibin Ling, Mubarak Shah, Junwen Pan, Ali Al-Ali, Amr Mohamed, Bakour Imene, Bin Dong, Binyu Zhang, Bouchali Hadia Nesma, Chenfeng Xu, Chenzhen Duan, Ciro Castiello, Corrado Mencar, Dingkang Liang, Florian Krüger, Gennaro Vessio, Giovanna Castellano, Jieru Wang, Junyu Gao, Khalid Abualsaud, Laihui DingLei Zhao, Marco Cianciotta, Muhammad Saqib, Noor Almaadeed, Omar Elharrouss, Pei Lyu, Qi Wang, Shidong Liu, Shuang Qiu, Siyang Pan, Somaya Al-Maadeed, Sultan Daud Khan, Tamer Khattab, Tao Han, Thomas Golda, Wei Xu, Xiang Bai, Xiaoqing Xu, Xuelong Li, Yanyun Zhao, Ye Tian, Yingnan Lin, Yongchao Xu, Yuehan Yao, Zhenyu Xu, Zhijian Zhao, Zhipeng Luo, Zhiwei Wei, Zhiyuan Zhao: VisDrone-CC2020: The Vision Meets Drone Crowd Counting Challenge Results. In Bartoli A., Fusiello A. (eds) Computer Vision – ECCV 2020 Workshops, 2020.
Thomas Golda: Part Affinity Field based Activity Recognition. In Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory, 2020.
Thomas Golda, Andreas Blattmann, Jürgen Metzler, Jürgen Beyerer: Image domain adaption of simulated data for human pose estimation. In Proc. SPIE 11543, Artificial Intelligence and Machine Learning in Defense Applications II, 2020.
Thomas Golda, Nils Murzyn, Chengchao Qu, Kristian Kroschel: What goes around comes around: Cycle-Consistency-based Short-Term Motion Prediction for Anomaly Detection using Generative Adversarial Networks. In 16th IEEE International Conference on Advanced Video and Signal Based Surveillances, 2019.
Thomas Golda, Tobias Kalb, Arne Schumann, Jürgen Beyerer: Human Pose Estimation for Real-World Crowded Scenarios. In 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019.
Thomas Golda: Image-based Anomaly Detection within Crowds. In Proceedings of the 2018 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory, 2019.