| HATS: Histograms of averaged time surfaces for robust event-based object classification A Sironi, M Brambilla, N Bourdis, X Lagorce, R Benosman Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 529 | 2018 |
| Learning separable filters R Rigamonti, A Sironi, V Lepetit, P Fua Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 408 | 2013 |
| Learning to detect objects with a 1 megapixel event camera E Perot, P De Tournemire, D Nitti, J Masci, A Sironi Advances in Neural Information Processing Systems 33, 16639-16652, 2020 | 290 | 2020 |
| Multiscale Centerline Detection A Sironi, E Türetken, V Lepetit, P Fua Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence, 0 | 156* | |
| “Multiscale Centerline Detection by Learning a Scale-Space Distance Transform”- Boundary Detection A Sironi, V Lepetit, P Fua | 154* | |
| A large scale event-based detection dataset for automotive P De Tournemire, D Nitti, E Perot, D Migliore, A Sironi arXiv preprint arXiv:2001.08499, 2020 | 134 | 2020 |
| Speed invariant time surface for learning to detect corner points with event-based cameras J Manderscheid, A Sironi, N Bourdis, D Migliore, V Lepetit Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 116 | 2019 |
| Projection onto the manifold of elongated structures for accurate extraction A Sironi, V Lepetit, P Fua Proceedings of the IEEE International Conference on Computer Vision, 316-324, 2015 | 46 | 2015 |
| BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets L Manubens-Gil, Z Zhou, H Chen, A Ramanathan, X Liu, Y Liu, A Bria, ... Nature Methods 20 (6), 824-835, 2023 | 33 | 2023 |
| Neurobench: Advancing neuromorphic computing through collaborative, fair and representative benchmarking J Yik, SH Ahmed, Z Ahmed, B Anderson, AG Andreou, C Bartolozzi, ... arXiv 2023, 2304.04640 v2, 2023 | 26 | 2023 |
| Detecting stable keypoints from events through image gradient prediction P Chiberre, E Perot, A Sironi, V Lepetit Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 25 | 2021 |
| The neurobench framework for benchmarking neuromorphic computing algorithms and systems J Yik, K Van den Berghe, D den Blanken, Y Bouhadjar, M Fabre, ... Nature Communications 16 (1), 1545, 2025 | 21 | 2025 |
| Hugnet: Hemi-spherical update graph neural network applied to low-latency event-based optical flow T Dalgaty, T Mesquida, D Joubert, A Sironi, P Vivet, C Posch Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| Long-lived accurate keypoint in event streams P Chiberre, E Perot, A Sironi, V Lepetit arXiv preprint arXiv:2209.10385, 2022 | 7 | 2022 |
| BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology L Manubens-Gil, Z Zhou, H Chen, A Ramanathan, X Liu, Y Liu, A Bria, ... bioRxiv, 2022.05. 10.491406, 2022 | 6 | 2022 |
| Method and apparatus of processing a signal from an event-based sensor A Sironi, M Rousseau, C Posch, X Lagorce US Patent 11,303,804, 2022 | 6 | 2022 |
| Medical Image Reconstruction Using Kernel Based Methods A Sironi arXiv preprint arXiv:1111.5844, 2011 | 6 | 2011 |
| Kernel-based image reconstruction from scattered Radon data S De Marchi, A Iske, A Sironi Dolomites Research Notes on Approximation 9 (DRNA Volume 9.2), 19-31, 2016 | 5 | 2016 |
| The cnn vs. snn event-camera dichotomy and perspectives for event-graph neural networks T Dalgaty, T Mesquida, D Joubert, A Sironi, C Soubeyrat, P Vivet, C Posch 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023 | 4 | 2023 |
| G2N2: Lightweight event stream classification with GRU graph neural networks T Mesquida, M Dampfhoffer, T Dalgaty, P Vivet, A Sironi, C Posch BMVC 2023-The 34th British Machine Vision Conference, 660, 2023 | 3 | 2023 |
