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Rao Muhammad Umer
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2020 – today
- 2024
- [j3]Hussain Ahmad Madni, Rao Muhammad Umer, Gian Luca Foresti:
Robust Federated Learning for Heterogeneous Model and Data. Int. J. Neural Syst. 34(4): 2450019:1-2450019:11 (2024) - [i14]Xudong Sun, Carla Feistner, Alexej Gossmann, George Schwarz, Rao Muhammad Umer, Lisa Beer, Patrick Rockenschaub, Rahul Babu Shrestha, Armin Gruber, Nutan Chen, Sayedali Shetab Boushehri, Florian Buettner, Carsten Marr:
DomainLab: A modular Python package for domain generalization in deep learning. CoRR abs/2403.14356 (2024) - 2023
- [j2]Hussain Ahmad Madni
, Rao Muhammad Umer, Gian Luca Foresti
Blockchain-Based Swarm Learning for the Mitigation of Gradient Leakage in Federated Learning. IEEE Access 11: 16549-16556 (2023) - [j1]Hussain Ahmad Madni
Swarm-FHE: Fully Homomorphic Encryption-based Swarm Learning for Malicious Clients. Int. J. Neural Syst. 33(8): 2350033:1-2350033:12 (2023) - [c10]Hussain Ahmad Madni, Rao Muhammad Umer, Gian Luca Foresti:
Federated Learning for Data and Model Heterogeneity in Medical Imaging. ICIAP Workshops (2) 2023: 167-178 - [c9]Asif Hussain Khan
LBKENet:Lightweight Blur Kernel Estimation Network for Blind Image Super-Resolution. ICIAP (2) 2023: 209-222 - [i13]Rao Muhammad Umer, Armin Gruber, Sayedali Shetab Boushehri, Christian Metak, Carsten Marr:
Imbalanced Domain Generalization for Robust Single Cell Classification in Hematological Cytomorphology. CoRR abs/2303.07771 (2023) - [i12]Hussain Ahmad Madni, Rao Muhammad Umer, Gian Luca Foresti:
Federated Learning for Data and Model Heterogeneity in Medical Imaging. CoRR abs/2308.00155 (2023) - 2022
- [c8]Rao Muhammad Umer, Christian Micheloni:
Real Image Super-Resolution using GAN through modeling of LR and HR process. AVSS 2022: 1-8 - [i11]Rao Muhammad Umer, Christian Micheloni:
Real Image Super-Resolution using GAN through modeling of LR and HR process. CoRR abs/2210.10413 (2022) - 2021
- [i10]Goutam Bhat, Martin Danelljan, Radu Timofte, Kazutoshi Akita, Wooyeong Cho, Haoqiang Fan, Lanpeng Jia, Daeshik Kim, Bruno Lecouat, Youwei Li
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. CoRR abs/2106.03839 (2021) - [i9]Rao Muhammad Umer, Asad Munir, Christian Micheloni:
A Deep Residual Star Generative Adversarial Network for multi-domain Image Super-Resolution. CoRR abs/2107.03145 (2021) - [i8]Rao Muhammad Umer, Christian Micheloni:
RBSRICNN: Raw Burst Super-Resolution through Iterative Convolutional Neural Network. CoRR abs/2110.13217 (2021) - 2020
- [c7]Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution. CVPR Workshops 2020: 1769-1777 - [c6]Andreas Lugmayr, Martin Danelljan, Radu Timofte
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. CVPR Workshops 2020: 2058-2076 - [c5]Kai Zhang, Martin Danelljan, Yawei Li
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 5-40 - [c4]Pengxu Wei, Hannan Lu, Radu Timofte
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. ECCV Workshops (3) 2020: 392-422 - [c3]Rao Muhammad Umer, Christian Micheloni
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution. ECCV Workshops (3) 2020: 484-498 - [c2]Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni:
Deep Iterative Residual Convolutional Network for Single Image Super-Resolution. ICPR 2020: 1852-1858 - [i7]Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni:
Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution. CoRR abs/2005.00953 (2020) - [i6]Andreas Lugmayr, Martin Danelljan, Radu Timofte, Namhyuk Ahn, Dongwoon Bai, Jie Cai, Yun Cao, Junyang Chen, Kaihua Cheng, Se Young Chun, Wei Deng, Mostafa El-Khamy, Chiu Man Ho, Xiaozhong Ji, Amin Kheradmand, Gwantae Kim, Hanseok Ko, Kanghyu Lee, Jungwon Lee, Hao Li, Ziluan Liu, Zhi-Song Liu, Shuai Liu, Yunhua Lu, Zibo Meng, Pablo Navarrete Michelini, Christian Micheloni, Kalpesh Prajapati, Haoyu Ren, Yonghyeok Seo, Wan-Chi Siu, Kyung-Ah Sohn, Ying Tai, Rao Muhammad Umer, Shuangquan Wang, Huibing Wang, Timothy Haoning Wu, Haoning Wu, Biao Yang, Fuzhi Yang, Jaejun Yoo, Tongtong Zhao, Yuanbo Zhou, Haijie Zhuo, Ziyao Zong, Xueyi Zou:
NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results. CoRR abs/2005.01996 (2020) - [i5]Rao Muhammad Umer, Christian Micheloni:
Deep Cyclic Generative Adversarial Residual Convolutional Networks for Real Image Super-Resolution. CoRR abs/2009.03693 (2020) - [i4]Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni:
Deep Iterative Residual Convolutional Network for Single Image Super-Resolution. CoRR abs/2009.04809 (2020) - [i3]Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, Jung Heum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Éric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan D. Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P. S, Densen Puthussery, C. Victor Jiji, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni:
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results. CoRR abs/2009.06943 (2020) - [i2]Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Feras Almasri
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results. CoRR abs/2009.12072 (2020)
2010 – 2019
- 2019
- [c1]Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni
Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations. ICDSC 2019: 21:1-21:7 - [i1]Rao Muhammad Umer, Gian Luca Foresti, Christian Micheloni:
Deep Super-Resolution Network for Single Image Super-Resolution with Realistic Degradations. CoRR abs/1909.03748 (2019)
Coauthor Index
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last updated on 2024-11-15 19:32 CET by the dblp team
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