| Tinyissimoyolo: A quantized, low-memory footprint, tinyml object detection network for low power microcontrollers J Moosmann, M Giordano, C Vogt, M Magno 2023 IEEE 5th International Conference on Artificial Intelligence Circuits …, 2023 | 11 | 2023 |
| Ultra-efficient on-device object detection on ai-integrated smart glasses with tinyissimoyolo J Moosmann, P Bonazzi, Y Li, S Bian, P Mayer, L Benini, M Magno arXiv preprint arXiv:2311.01057, 2023 | 3 | 2023 |
| Flexible and fully quantized ultra-lightweight tinyissimoyolo for ultra-low-power edge systems J Moosmann, H Mueller, N Zimmerman, G Rutishauser, L Benini, ... arXiv preprint arXiv:2307.05999, 2023 | 3 | 2023 |
| Flexible and Fully Quantized Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems J Moosmann, H Müller, N Zimmerman, G Rutishauser, L Benini, M Magno IEEE Access, 2024 | | 2024 |
| Q-Segment: Segmenting Images In-Sensor for Vessel-Based Medical Diagnosis P Bonazzi, J Moosmann, Y Li, S Bian, M Magno arXiv preprint arXiv:2312.09854, 2023 | | 2023 |
| Quantitative Evaluation of a Multi-Modal Camera Setup for Fusing Event Data with RGB Images J Moosmann, J Mandula, P Mayer, L Benini, M Magno 2023 IEEE SENSORS, 1-4, 2023 | | 2023 |
Michele MagnoETH Zurich在 iis.ee.ethz.ch 的电子邮件经过验证
