| Modeling the background for incremental learning in semantic segmentation F Cermelli, M Mancini, SR Bulo, E Ricci, B Caputo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 336 | 2020 |
| A closer look at self-training for zero-label semantic segmentation G Pastore, F Cermelli, Y Xian, M Mancini, Z Akata, B Caputo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 69 | 2021 |
| Feddrive: Generalizing federated learning to semantic segmentation in autonomous driving L Fantauzzo, E Fanì, D Caldarola, A Tavera, F Cermelli, M Ciccone, ... 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 63 | 2022 |
| Incremental learning in semantic segmentation from image labels F Cermelli, D Fontanel, A Tavera, M Ciccone, B Caputo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 63 | 2022 |
| Prototype-based Incremental Few-Shot Segmentation F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo British Machine Vision Conference (BMVC 2021), 2021 | 50* | 2021 |
| Unmasking Anomalies in Road-Scene Segmentation S Nandan Rai, F Cermelli, D Fontanel, C Masone, B Caputo arXiv e-prints, arXiv: 2307.13316, 2023 | 36* | 2023 |
| Modeling missing annotations for incremental learning in object detection F Cermelli, A Geraci, D Fontanel, B Caputo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 36 | 2022 |
| Boosting deep open world recognition by clustering D Fontanel, F Cermelli, M Mancini, SR Bulo, E Ricci, B Caputo IEEE Robotics and Automation Letters 5 (4), 5985-5992, 2020 | 31 | 2020 |
| Pixel-by-pixel cross-domain alignment for few-shot semantic segmentation A Tavera, F Cermelli, C Masone, B Caputo Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 26 | 2022 |
| Comformer: Continual learning in semantic and panoptic segmentation F Cermelli, M Cord, A Douillard Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 21 | 2023 |
| Pem: Prototype-based efficient maskformer for image segmentation N Cavagnero, G Rosi, C Cuttano, F Pistilli, M Ciccone, G Averta, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 16 | 2024 |
| Detecting anomalies in semantic segmentation with prototypes D Fontanel, F Cermelli, M Mancini, B Caputo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 15 | 2021 |
| A contrastive distillation approach for incremental semantic segmentation in aerial images E Arnaudo, F Cermelli, A Tavera, C Rossi, B Caputo International Conference on Image Analysis and Processing, 742-754, 2022 | 13 | 2022 |
| Modeling the background for incremental and weakly-supervised semantic segmentation F Cermelli, M Mancini, SR Bulo, E Ricci, B Caputo IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12 …, 2021 | 12 | 2021 |
| Detecting the unknown in object detection D Fontanel, M Tarantino, F Cermelli, B Caputo arXiv preprint arXiv:2208.11641, 2022 | 6 | 2022 |
| T4T: Tangible interface for tuning 3D object manipulation tools A Cannavo, F Cermelli, V Chiaramida, G Ciccone, F Lamberti, ... 2017 IEEE Symposium on 3D User Interfaces (3DUI), 266-267, 2017 | 6 | 2017 |
| Discovering latent domains for unsupervised domain adaptation through consistency M Mancini, L Porzi, F Cermelli, B Caputo Image Analysis and Processing–ICIAP 2019: 20th International Conference …, 2019 | 5 | 2019 |
| On the challenges of open world recognition under shifting visual domains D Fontanel, F Cermelli, M Mancini, B Caputo IEEE Robotics and Automation Letters 6 (2), 604-611, 2020 | 4 | 2020 |
| The rgb-d triathlon: Towards agile visual toolboxes for robots F Cermelli, M Mancini, E Ricci, B Caputo 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 4 | 2019 |
| Mask2anomaly: Mask transformer for universal open-set segmentation SN Rai, F Cermelli, B Caputo, C Masone IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 3 | 2024 |
Barbara CaputoDAUIN, Politecnico di TorinoAdresse e-mail validée de polito.it
