Azade Farshad
Cited by
Cited by
Semantic image manipulation using scene graphs
H Dhamo, A Farshad, I Laina, N Navab, GD Hager, F Tombari, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
Adversarial network compression
V Belagiannis, A Farshad, F Galasso
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018
Inverse distance aggregation for federated learning with non-iid data
Y Yeganeh, A Farshad, N Navab, S Albarqouni
Domain Adaptation and Representation Transfer, and Distributed and …, 2020
SigmoRep: A robust reputation model for open collaborative environments
AA Kardan, R Salarmehr, A Farshad
2014 IEEE 13th International Conference on Trust, Security and Privacy in …, 2014
Unconditional scene graph generation
S Garg, H Dhamo, A Farshad, S Musatian, N Navab, F Tombari
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation
A Farshad, A Makarevich, V Belagiannis, N Navab
MICCAI Workshop on Domain Adaptation and Representation Transfer, 45-55, 2022
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information
Y Zhang, A Khakzar, Y Li, A Farshad, ST Kim, N Navab
Neural Information Processing Systems (NeurIPS) 2021, 2021
Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation
A Farshad, Y Yeganeh, P Gehlbach, N Navab
International Conference on Medical Image Computing and Computer-Assisted …, 2022
MIGS: Meta image generation from scene graphs
A Farshad, S Musatian, H Dhamo, N Navab
British Machine Vision Conference (BMVC) 2021, 2021
Few-shot segmentation of 3D medical images
AG Roy, S Siddiqui, S Pölsterl, A Farshad, N Navab, C Wachinger
Meta-Learning with Medical Imaging and Health Informatics Applications, 161-183, 2023
Learning to learn in medical applications: A journey through optimization
A Farshad, Y Yeganeh, N Navab
Meta-Learning with Medical Imaging and Health Informatics Applications, 3-25, 2023
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation
A Farshad, Y Yeganeh, H Dhamo, F Tombari, N Navab
arXiv preprint arXiv:2211.05499, 2022
Shape-Aware Masking for Inpainting in Medical Imaging
Y Yeganeh, A Farshad, N Navab
arXiv preprint arXiv:2207.05787, 2022
FedAP: Adaptive Personalization in Federated Learning for Non-IID Data
Y Yeganeh, A Farshad, J Boschmann, R Gaus, M Frantzen, N Navab
International Workshop on Distributed, Collaborative, and Federated Learning …, 2022
Meta-k: Towards Unsupervised Prediction of Number of Clusters
A Farshad, S Hamidi, N Navab
Neural Network Compression
A Farshad
Technical University of Munich, 2018
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