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Rao Muhammad Umer
Rao Muhammad Umer
PostDoc Researcher, Institute of AI for Health (AIH), Helmholtz Munich
Verified email at helmholtz-muenchen.de - Homepage
Title
Cited by
Cited by
Year
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
1812020
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
1022020
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
572020
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
412021
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
142023
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
132019
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution
RM Umer, C Micheloni
ECCV 2020 Workshops, 484-498, 2020
122020
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
92023
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
92020
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
52021
Rbsricnn: Raw burst super-resolution through iterative convolutional neural network
RM Umer, C Micheloni
arXiv preprint arXiv:2110.13217, 2021
42021
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
32023
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
22023
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
22022
Exploiting Data Diversity in Multi-Domain Federated Learning
HA Madni, RM Umer, GL Foresti
Machine Learning: Science and Technology, 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
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
2023
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