| Boosting Domain Adaptation by Discovering Latent Domains M Mancini, L Porzi, SR Bulò, B Caputo, E Ricci IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 144 | 2018 |
| 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 | 135 | 2020 |
| Best Sources Forward: Domain Generalization through Source-Specific Nets M Mancini, SR Bulò, B Caputo, E Ricci IEEE International Conference on Image Processing (ICIP), 2018 | 98 | 2018 |
| Embedding Words and Senses Together via Joint Knowledge-Enhanced Training M Mancini, J Camacho-Collados, I Iacobacci, R Navigli Proceedings of the 21st Conference on Computational Natural Language …, 2017 | 93 | 2017 |
| Robust Place Categorization with Deep Domain Generalization M Mancini, SR Bulo, B Caputo, E Ricci IEEE Robotics and Automation Letters 3 (3), 2093-2100, 2018 | 58 | 2018 |
| AdaGraph: Unifying Predictive and Continuous Domain Adaptation Through Graphs M Mancini, SR Bulò, B Caputo, E Ricci The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 53 | 2019 |
| Towards recognizing unseen categories in unseen domains M Mancini, Z Akata, E Ricci, B Caputo European Conference on Computer Vision, 466-483, 2020 | 52 | 2020 |
| Open World Compositional Zero-Shot Learning M Mancini, MF Naeem, Y Xian, Z Akata IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 44 | 2021 |
| Adding New Tasks to a Single Network with Weight Transformations Using Binary Masks M Mancini, E Ricci, B Caputo, SR Bulò The European Conference on Computer Vision (ECCV) Workshops, 2018 | 41 | 2018 |
| Kitting in the Wild through Online Domain Adaptation M Mancini, H Karaoguz, E Ricci, P Jensfelt, B Caputo IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018 | 39 | 2018 |
| Learning Deep NBNN Representations for Robust Place Categorization M Mancini, S Rota Bulò, E Ricci, B Caputo IEEE Robotics and Automation Letters 2 (3), 1794-1801, 2017 | 39 | 2017 |
| Inferring Latent Domains for Unsupervised Deep Domain Adaptation M Mancini, L Porzi, SR Bulo, B Caputo, E Ricci IEEE transactions on pattern analysis and machine intelligence, 2019 | 26 | 2019 |
| Cluster-driven Graph Federated Learning over Multiple Domains D Caldarola, M Mancini, F Galasso, M Ciccone, E Rodolà, B Caputo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 25 | 2021 |
| Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition M Mancini, H Karaoguz, E Ricci, P Jensfelt, B Caputo IEEE International Conference on Robotics and Automation (ICRA), 2019 | 20 | 2019 |
| Learning graph embeddings for open world compositional zero-shot learning M Mancini, MF Naeem, Y Xian, Z Akata IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 17 | 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 | 16 | 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 | 15 | 2021 |
| A few guidelines for incremental few-shot segmentation F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo arXiv preprint arXiv:2012.01415 2, 2020 | 10 | 2020 |
| Prototype-based Incremental Few-Shot Semantic Segmentation F Cermelli, M Mancini, Y Xian, Z Akata, B Caputo British Machine Vision Conference (BMVC), 2021 | 8 | 2021 |
| 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 | 7 | 2021 |
Barbara CaputoDAUIN, Politecnico di Torino確認したメール アドレス: polito.it
