| GANVO: Unsupervised deep monocular visual odometry and depth estimation with generative adversarial networks Y Almalioglu, MRU Saputra, PPB De Gusmao, A Markham, N Trigoni 2019 International conference on robotics and automation (ICRA), 5474-5480, 2019 | 104 | 2019 |
| Flower: A friendly federated learning research framework DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ... arXiv preprint arXiv:2007.14390, 2020 | 85 | 2020 |
| Distilling knowledge from a deep pose regressor network MRU Saputra, PPB De Gusmao, Y Almalioglu, A Markham, N Trigoni Proceedings of the IEEE/CVF International Conference on Computer Vision, 263-272, 2019 | 55 | 2019 |
| Statistical modelling of outliers for fast visual search S Lepsøy, G Francini, G Cordara, PPB de Gusmao 2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011 | 43 | 2011 |
| DeepPCO: End-to-end Point Cloud Odometry through Deep Parallel Neural Network W Wang, MRU Saputra, P Zhao, ... IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019 | 27 | 2019 |
| Deeptio: A deep thermal-inertial odometry with visual hallucination MRU Saputra, PPB de Gusmao, CX Lu, Y Almalioglu, S Rosa, C Chen, ... IEEE Robotics and Automation Letters 5 (2), 1672-1679, 2020 | 26 | 2020 |
| Learning monocular visual odometry through geometry-aware curriculum learning MRU Saputra, PPB De Gusmao, S Wang, A Markham, N Trigoni 2019 International Conference on Robotics and Automation (ICRA), 3549-3555, 2019 | 26 | 2019 |
| SelfVIO: Self-supervised deep monocular Visual–Inertial Odometry and depth estimation Y Almalioglu, M Turan, MRU Saputra, PPB de Gusmão, A Markham, ... Neural Networks 150, 119-136, 2022 | 24 | 2022 |
| milliEgo: single-chip mmWave radar aided egomotion estimation via deep sensor fusion CX Lu, MRU Saputra, P Zhao, Y Almalioglu, PPB De Gusmao, C Chen, ... Proceedings of the 18th Conference on Embedded Networked Sensor Systems, 109-122, 2020 | 24 | 2020 |
| Method and system for comparing images G Cordara, G Francini, S Lepsoy, PPB De Gusmao US Patent 9,008,424, 2015 | 14 | 2015 |
| A first look into the carbon footprint of federated learning X Qiu, T Parcollet, J Fernandez-Marques, PPB de Gusmao, DJ Beutel, ... arXiv preprint arXiv:2102.07627, 2021 | 12 | 2021 |
| End-to-end speech recognition from federated acoustic models Y Gao, T Parcollet, S Zaiem, J Fernandez-Marques, PPB de Gusmao, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 7 | 2022 |
| On-device federated learning with flower A Mathur, DJ Beutel, PPB de Gusmao, J Fernandez-Marques, T Topal, ... arXiv preprint arXiv:2104.03042, 2021 | 7 | 2021 |
| Convolutional neural networks, particularly for image analysis G Francini, S Lepsoy, PPB De Gusmao US Patent App. 16/081,693, 2020 | 6 | 2020 |
| Map-aided navigation for emergency searches J Wahlström, PPB de Gusmao, A Markham, N Trigoni 2019 15th International Conference on Distributed Computing in Sensor …, 2019 | 4 | 2019 |
| Flower: A friendly federated learning framework DJ Beutel, T Topal, A Mathur, X Qiu, J Fernandez-Marques, Y Gao, L Sani, ... | 3 | 2022 |
| RadarLoc: Learning to relocalize in FMCW radar W Wang, PPB de Gusmao, B Yang, A Markham, N Trigoni 2021 IEEE International Conference on Robotics and Automation (ICRA), 5809-5815, 2021 | 3 | 2021 |
| Sensor fusion for magneto-inductive navigation J Wahlström, M Kok, PPB de Gusmao, TE Abrudan, N Trigoni, A Markham IEEE Sensors Journal 20 (1), 386-396, 2019 | 3 | 2019 |
| Graph-Based Thermal–Inertial SLAM With Probabilistic Neural Networks MRU Saputra, CX Lu, PPB de Gusmao, B Wang, A Markham, N Trigoni IEEE Transactions on Robotics, 2021 | 2 | 2021 |
| Fast Training of Convolutional Neural Networks via Kernel Rescaling PPB de Gusmao, G Francini, S Lepsøy, E Magli arXiv preprint arXiv:1610.03623, 2016 | 2 | 2016 |
