| 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 | 118 | 2020 |
| 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 | 98 | 2020 |
| Adversarial network compression V Belagiannis*, A Farshad*, F Galasso Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2018 | 72 | 2018 |
| 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 | 43 | 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 | 28 | 2021 |
| 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 | 23 | 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 | 18* | 2022 |
| MIGS: Meta image generation from scene graphs A Farshad, S Musatian, H Dhamo, N Navab British Machine Vision Conference (BMVC) 2021, 2021 | 12 | 2021 |
| Scenegenie: Scene graph guided diffusion models for image synthesis A Farshad, Y Yeganeh, Y Chi, C Shen, B Ommer, N Navab Proceedings of the IEEE/CVF International Conference on Computer Vision, 88-98, 2023 | 11 | 2023 |
| 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 | 8 | 2014 |
| Transformers pay attention to convolutions leveraging emerging properties of ViTs by dual attention-image network Y Yeganeh, A Farshad, P Weinberger, SA Ahmadi, E Adeli, N Navab Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 6* | 2023 |
| 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 | 6* | 2022 |
| SCOPE: Structural Continuity Preservation for Retinal Vessel Segmentation Y Yeganeh, G Güvercin, R Xiao, A Abuzer, E Adeli, A Farshad, N Navab International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 4* | 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 | 4 | 2023 |
| DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation A Farshad, Y Yeganeh, H Dhamo, F Tombari, N Navab British Machine Vision Conference (BMVC) 2022, 2022 | 4 | 2022 |
| Meta learning with medical imaging and health informatics applications H Van Nguyen, R Summers, R Chellappa Academic Press, 2022 | 4 | 2022 |
| 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 | 3 | 2023 |
| Anatomy-Aware Masking for Inpainting in Medical Imaging Y Yeganeh, A Farshad, N Navab International Workshop on Shape in Medical Imaging, 35-46, 2023 | 2 | 2023 |
| VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation M Mozafari, A Bitarafan, MF Azampour, A Farshad, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 2 | 2023 |
| Representation Learning for Semantic Scene Understanding A Farshad HHAI 2023: Augmenting Human Intellect: Proceedings of the Second …, 2023 | 1 | 2023 |
Nassir NavabProfessor of Computer Science, Technische Universität München在 cs.tum.edu 的电子邮件经过验证
