| Ntire 2020 challenge on real-world image super-resolution: Methods and results A Lugmayr, M Danelljan, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 189 | 2020 |
| Aim 2020 challenge on efficient super-resolution: Methods and results K Zhang, M Danelljan, Y Li, R Timofte, J Liu, J Tang, G Wu, Y Zhu, X He, ... Computer Vision–ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020 …, 2020 | 104 | 2020 |
| Deep generative adversarial residual convolutional networks for real-world super-resolution RM Umer, GL Foresti, C Micheloni Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 63 | 2020 |
| AIM 2020 challenge on real image super-resolution P Wei, H Lu, R Timofte, L Lin, W Zuo, Z Pan, B Li, T Xi, Y Fan, G Zhang, ... ECCV 2020 Workshops, 392--422, 2020 | 45* | 2020 |
| NTIRE 2021 challenge on burst super-resolution: Methods and results G Bhat, M Danelljan, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 42 | 2021 |
| Blockchain-based swarm learning for the mitigation of gradient leakage in federated learning HA Madni, RM Umer, GL Foresti IEEE Access 11, 16549-16556, 2023 | 20 | 2023 |
| Deep super-resolution network for single image super-resolution with realistic degradations RM Umer, GL Foresti, C Micheloni Proceedings of the 13th International Conference on Distributed Smart …, 2019 | 15 | 2019 |
| Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution RM Umer, C Micheloni ECCV 2020 Workshops, 484-498, 2020 | 12 | 2020 |
| Swarm-fhe: fully homomorphic encryption-based swarm learning for malicious clients HA Madni, RM Umer, GL Foresti International journal of neural systems 33 (08), 2350033, 2023 | 9 | 2023 |
| Deep Iterative Residual Convolutional Network for Single Image Super-Resolution RM Umer, GL Foresti, C Micheloni 25th International Conference on Pattern Recognition (ICPR), 1852-1858, 2020 | 9 | 2020 |
| A deep residual star generative adversarial network for multi-domain image super-resolution RM Umer, A Munir, C Micheloni 2021 6th International Conference on Smart and Sustainable Technologies …, 2021 | 5 | 2021 |
| Rbsricnn: Raw burst super-resolution through iterative convolutional neural network RM Umer, C Micheloni arXiv preprint arXiv:2110.13217, 2021 | 4 | 2021 |
| Federated learning for data and model heterogeneity in medical imaging HA Madni, RM Umer, GL Foresti International Conference on Image Analysis and Processing, 167-178, 2023 | 3 | 2023 |
| Imbalanced domain generalization for robust single cell classification in hematological cytomorphology RM Umer, A Gruber, SS Boushehri, C Metak, C Marr arXiv preprint arXiv:2303.07771, 2023 | 2 | 2023 |
| Real Image Super-Resolution using GAN through modeling of LR and HR process RM Umer, C Micheloni 2022 18th IEEE International Conference on Advanced Video and Signal Based …, 2022 | 2 | 2022 |
| LBKENet: Lightweight Blur Kernel Estimation Network for Blind Image Super-Resolution AH Khan, RM Umer, M Dunnhofer, C Micheloni, N Martinel International Conference on Image Analysis and Processing, 209-222, 2023 | 1 | 2023 |
| Exploiting data diversity in multi-domain federated learning HA Madni, RM Umer, GL Foresti Machine Learning: Science and Technology 5 (2), 025041, 2024 | | 2024 |
| DomainLab: A modular Python package for domain generalization in deep learning X Sun, C Feistner, A Gossmann, G Schwarz, RM Umer, L Beer, ... arXiv preprint arXiv:2403.14356, 2024 | | 2024 |
| Robust Federated Learning for Heterogeneous Model and Data. HA Madni, RM Umer, GL Foresti International Journal of Neural Systems 34 (4), 2450019-2450019, 2024 | | 2024 |
| FL-W3S: Cross-domain Federated Learning for Weakly Supervised Semantic Segmentation of White Blood Cells HA Madni, RM Umer, S Zottin, C Marr, GL Foresti Medical Imaging with Deep Learning, 2024 | | 2024 |
Gian Luca ForestiFull Professor at Università di Udine在 uniud.it 的电子邮件经过验证
