SCIoI Alumni

Friedhelm Hamann

Doctoral Researcher

Computer Science

TU Berlin

 

Email:

 

Photo: SCIoI

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Friedhelm Hamann

Friedhelm Hamann

Photo: SCIoI

Friedhelm Hamann is a doctoral researcher with SCIoI and a member of the Robotic Interactive Perception group. He is interested in advancing algorithms for visual sensor data to extract high-level information and improve the perception system of artificial agents. His research (Project 36) focuses on the use of event cameras, which are inspired by the human visual system. At SCIoI, he aims to integrate computer vision algorithms into robotic systems to develop tools for the behavioral analysis of animals. Friedhelm received his B.Sc. in Electrical Engineering from University of Rostock in 2019 and completed his M.Sc. in Electrical Engineering and Information Technology at RWTH Aachen University in 2021.

 

Projects

Friedhelm Hamann is member of:

• Project 36: Active tracking using bioinspired event-based vision – Towards improving interpretability of individual and collective behavior
6984777 Friedhelm Hamann 1 apa 50 date desc year 19864 https://www.scienceofintelligence.de/wp-content/plugins/zotpress/
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Guo, S., Hamann, F., & Gallego, G. (2025). Unsupervised Joint Learning of Optical Flow and Intensity with Event Cameras. 2025 IEEE/CVF International Conference on Computer Vision (ICCV), 7980–7989. https://doi.org/10.1109/ICCV51701.2025.00748
Hamann, F., Mededovic, E., Gülhan, F., Wu, Y., Stegmaier, J., He, J., Wang, Y., Zhang, K., Li, L., Jiao, L., Ma, M., Huang, H., Yan, Y., Ren, H., Lin, X., Huang, Y., Cheng, B., Lee, S. H., Ham, G. S., … Gallego, G. (2025). SIS-Challenge: Event-Based Spatio-Temporal Instance Segmentation Challenge at the CVPR 2025 Event-Based Vision Workshop. 2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 4734–4742. https://doi.org/10.1109/ICCVW69036.2025.00491
Hamann, F., Gehrig, D., Febryanto, F., Daniilidis, K., & Gallego, G. (2025). ETAP: Event-based Tracking of Any Point. 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 27186–27196. https://doi.org/10.1109/CVPR52734.2025.02532
Wang, Z., Hamann, F., Chaney, K., Jiang, W., Gallego, G., & Daniilidis, K. (2025). Event-Based Continuous Color Video Decompression from Single Frames. 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 4968–4978. https://doi.org/10.1109/CVPRW67362.2025.00490
Hamann, F., Ghosh, S., Juárez Martínez, I., Hart, T., Kacelnik, A., & Gallego, G. (2025). Fourier‐Based Action Recognition for Wildlife Behavior Quantification with Event Cameras. Advanced Intelligent Systems, 7(2), 2400353. https://doi.org/10.1002/aisy.202400353
Hamann, F., Wang, Z., Asmanis, I., Chaney, K., Gallego, G., & Daniilidis, K. (2025). Motion-Prior Contrast Maximization for Dense Continuous-Time Motion Estimation. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024 (pp. 18–37). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-72646-0_2
Hamann, F., Li, H., Mieske, P., Lewejohann, L., & Gallego, G. (2025). MouseSIS: A Frames-and-Events Dataset for Space-Time Instance Segmentation of Mice. In A. Del Bue, C. Canton, J. Pont-Tuset, & T. Tommasi (Eds.), Computer Vision – ECCV 2024 Workshops (pp. 156–173). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-92460-6_10
Hamann, F., Ghosh, S., Martínez, I. J., Hart, T., Kacelnik, A., & Gallego, G. (2024). Low-power, Continuous Remote Behavioral Localization with Event Cameras. 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 18612–18621. https://doi.org/10.1109/CVPR52733.2024.01761
Shiba, S., Hamann, F., Aoki, Y., & Gallego, G. (2024). Event-Based Background-Oriented Schlieren. IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(4), 2011–2026. https://doi.org/10.1109/TPAMI.2023.3328188
Hamann, F., & Gallego, G. (2022). Stereo Co-capture System for Recording and Tracking Fish with Frame- and Event Cameras [Poster]. Visual observation and analysis of Vertebrate And Insect Behavior (VAIB) Workshop at the 26th International Conference on Pattern Recognition (ICPR). https://arxiv.org/abs/2207.07332

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