Deep Learning Engineer at the Bosch Center for Artificial Intelligence (BCAI).
Currently: Generative AI to synthesize realistic images and videos of the real world.
Previous projects:
- Neural architecture search to optimize neural networks on the edge.
- Object detection with event cameras and spiking neural networks.
Check my Google Scholar for the most up-to-date information.
| Date | Publication | Authors | Conference |
|---|---|---|---|
| 06/2023 | How Many Events Make an Object? Improving Single-frame Object Detection on the 1 Mpx Dataset | Alexander Kugele, Thomas Pfeil, Michael Pfeiffer, Elisabetta Chicca | 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW); Fourth International Workshop on Event-Based Vision |
| 08/2021 | Hybrid SNN-ANN: Energy-Efficient Classification and Object Detection for Event-Based Vision | Alexander Kugele, Thomas Pfeil, Michael Pfeiffer, Elisabetta Chicca | DAGM German Conference on Pattern Recognition (GCPR) 2021 |
| 05/2020 | Efficient Processing of Spatio-Temporal Data Streams With Spiking Neural Networks | Alexander Kugele, Thomas Pfeil, Michael Pfeiffer, Elisabetta Chicca | Frontiers in Neuroscience 14, p. 439. |
| 11/2019 | Accelerated physical emulation of Bayesian inference in spiking neural networks | AF Kungl, S Schmitt, J Klähn, P Müller, A Baumbach, D Dold, A Kugele, E Müller, C Koke, M Kleider, C Mauch, O Breitwieser, L Leng, N Gürtler, M Güttler, D Husmann, K Husmann, A Hartel, V Karasenko, A Grübl, J Schemmel, K Meier, MA Petrovici | Frontiers in Neuroscience 13, p. 1201. |