| Skeleton-based action recognition via spatial and temporal transformer networks C Plizzari, M Cannici, M Matteucci Computer Vision and Image Understanding 208, 103219, 2021 | 171 | 2021 |
| Spatial temporal transformer network for skeleton-based action recognition C Plizzari, M Cannici, M Matteucci Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021 | 153 | 2021 |
| Asynchronous Convolutional Networks for Object Detection in Neuromorphic Cameras M Cannici, M Ciccone, A Romanoni, M Matteucci IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019 | 95 | 2019 |
| A differentiable recurrent surface for asynchronous event-based data M Cannici, M Ciccone, A Romanoni, M Matteucci Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 74 | 2020 |
| Attention mechanisms for object recognition with event-based cameras M Cannici, M Ciccone, A Romanoni, M Matteucci 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1127-1136, 2019 | 37 | 2019 |
| E2 (go) motion: Motion augmented event stream for egocentric action recognition C Plizzari, M Planamente, G Goletto, M Cannici, E Gusso, M Matteucci, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 22 | 2022 |
| Event-based convolutional networks for object detection in neuromorphic cameras M Cannici, M Ciccone, A Romanoni, M Matteucci arXiv preprint arXiv:1805.07931 1 (2), 2018 | 16 | 2018 |
| Da4event: towards bridging the sim-to-real gap for event cameras using domain adaptation M Planamente, C Plizzari, M Cannici, M Ciccone, F Strada, A Bottino, ... IEEE Robotics and Automation Letters 6 (4), 6616-6623, 2021 | 5 | 2021 |
| N-rod: A neuromorphic dataset for synthetic-to-real domain adaptation M Cannici, C Plizzari, M Planamente, M Ciccone, A Bottino, B Caputo, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 5 | 2021 |
| Neural Weighted A*: Learning Graph Costs and Heuristics with Differentiable Anytime A A Archetti, M Cannici, M Matteucci International Conference on Machine Learning, Optimization, and Data Science …, 2021 | 1 | 2021 |
| End-to-End Learned Event-and Image-based Visual Odometry R Pellerito, M Cannici, D Gehrig, J Belhadj, O Dubois-Matra, M Casasco, ... arXiv preprint arXiv:2309.09947, 2023 | | 2023 |
| Revisiting Token Pruning for Object Detection and Instance Segmentation Y Liu, M Gehrig, N Messikommer, M Cannici, D Scaramuzza arXiv preprint arXiv:2306.07050, 2023 | | 2023 |
| Deep learning for asteroids autonomous terrain relative navigation P Mancini, M Cannici, M Matteucci Advances in Space Research 71 (9), 3748-3760, 2023 | | 2023 |
| 6 DoF Pose Regression via Differentiable Rendering A Simpsi, M Roggerini, M Cannici, M Matteucci International Conference on Image Analysis and Processing, 645-656, 2022 | | 2022 |
| Learning efficient and effective representations for event-based cameras M Cannici | | 2022 |
| Deep neural models for event-based vision M CANNICI Italy, 2018 | | 2018 |
| E2 (GO) MOTION: Motion Augmented Event Stream for Egocentric Action Recognition Supplementary Material C Plizzari, M Planamente, G Goletto, M Cannici, E Gusso, M Matteucci, ... | | |
Matteo MatteucciFull Professor, Department of Electronics Information and Bioengineering, Politecnico di MilanoПотвърден имейл адрес: polimi.it
