| TINYCD: A (not so) deep learning model for change detection A Codegoni, G Lombardi, A Ferrari Neural Computing and Applications 35 (11), 8471-8486, 2023 | 32 | 2023 |
| Performance analysis of a 60-GHz radar for indoor positioning and tracking A Antonucci, M Corrà, A Ferrari, D Fontanelli, E Fusari, D Macii, L Palopoli 2019 International Conference on Indoor Positioning and Indoor Navigation …, 2019 | 22 | 2019 |
| Boosted tracking in video G Boccignone, P Campadelli, A Ferrari, G Lipori IEEE Signal Processing Letters 17 (2), 129-132, 2009 | 15 | 2009 |
| A system based on IoT platforms and occupancy monitoring for energy-efficient HVAC management M Corrà, E Fusari, A Ferrari, D Macii 2019 IEEE 5th International forum on Research and Technology for Society and …, 2019 | 6 | 2019 |
| Algorithms for Enhanced Indoor Positioning and Tracking based on a 60-GHz Radar Platform F Shamsfakhr, M Corrà, A Ferrari, D Macii, L Palopoli, D Fontanelli 2022 IEEE International Workshop on Metrology for Industry 4.0 & IoT …, 2022 | 1 | 2022 |
| Real-time probabilistic tracking of faces in video G Boccignone, P Campadelli, A Ferrari, G Lipori Image Analysis and Processing–ICIAP 2009: 15th International Conference …, 2009 | 1 | 2009 |
| A Multi-target detection and position tracking algorithm based on mmWave-FMCW radar data F Shamsfakhr, D Macii, L Palopoli, M Corrà, A Ferrari, D Fontanelli Measurement, 114797, 2024 | | 2024 |
Giuseppe BoccignoneDepartment of Computer Science, Università di MilanoEmail verificata su unimi.it
