Dr. Azade Farshad


Picture of Azade Farshad

Technical University of Munich

Institute of Informatics

Postal address

Postal:
Boltzmannstr. 3
85748 Garching b. München

Research interests

  • Scene graphs
  • Generative Models
  • Unsupervised Learning
  • Self-Supervised Learning
  • Meta-learning
  • Multi-modal learning

Research Projects

  • MIGS: Meta Image Generation from Scene Graphs (BMVC 2021) Project Page | Code
  • Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information (NeurIPS 2021) Code
  • Unconditional Scene Graph Generation (ICCV 2021) Project Page
  • Inverse Distance Aggregation for Federated Learning (MICCAI Workshop 2020) Project Page
  • Semantic Image Manipulation using Scene Graphs (CVPR 2020) Project Page | Code
  • Neural Network Compression (ECCV Workshop 2018) Project Page

Student Projects

Feel free to contact me for any of the following projects, or if you are interested in related topics.

Type Title Student Status
Master Thesis Annotation Efficient Surgical Video Analysis with GNNs Caghan Koksal Running
IDP Representation Learning for Semantic Image Manipulation using Diffusion Models Caghan Koksal Running
Master Thesis Interpretable Prototypical-Networks with Concept Learning Sraddha Das Finished
Master Thesis Joint representation learning for synchronised video and EOG data Sonja Stefani Finished
Master Thesis

Semantic Image Manipulation using Objectwise Graph Feature

Extraction

Pavel Jahoda Finished
Master Thesis Towards Medical Image Segmentation using Self-Supervised Learning Peter Weinberger Finished
Master Thesis Human Role Prediction Using Knowledge Graphs Aleksandr Zuev Finished
Guided Research

Meta-learning for Computer Vision using Evolutionary Algorithms

Sraddha Das Finished
Master Thesis Self-supervised learning using Contrastive Generative Models Anastasia Makarevich Finished
Master Thesis Scene graph generation Sarthak Garg Finished
Master Thesis Meta-learning for Image Generation/Manipulation using Scene Graphs Sabrina Musatian Finished
Guided Research Meta-learning for Medical Image Segmentation Anastasia Makarevich Finished
Master Thesis Meta-clustering Samin Hamidi Finished
Master Thesis Towards More Robust Machine Learning Models Mariem Kthiri Finished
Master Thesis Federated Learning with Non-iid data Yousef Yegane Finished
Guided Research Robustness of Knowledge Transfer Methods Yousef Yegane Finished

Professional Services

  • Executive Committee Member at Britimish Machine Vision Association (BMVA)
  • Board Member at Women in MICCAI (WiM)
  • Primary Organizer of the CVPR 2024 SG2RL Workshop
  • Co-Organizer of the CVPR 2024 WiCV Workshop
  • Primary Organizer of the ICCV 2023 SG2RL Workshop
  • Associate Program Chair at IPMI 2023 Conference
  • Reviewer at:
    • CVPR, ICCV, ICLR, ECCV, BMVC, WACV, ACCV

Publications

  • Mozafari, Mohammad; Bitarafan, Adeleh; Azampour, Mohammad Farid; Farshad, Azade; Soleymani Baghshah, Mahdieh; Navab, Nassir: VISA-FSS: A Volume-Informed Self Supervised Approach for Few-Shot 3D Segmentation. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2023 more…
  • Farshad, Azade; Yeganeh, Yousef; Navab, Nassir: Learning to learn in medical applications. In: Meta Learning With Medical Imaging and Health Informatics Applications. Elsevier, 2023 more…
  • Guha Roy, Abhijit; Siddiqui, Shayan; Pölsterl, Sebastian; Farshad, Azade; Navab, Nassir; Wachinger, Christian: Few-shot segmentation of 3D medical images. In: Meta Learning With Medical Imaging and Health Informatics Applications. Elsevier, 2023 more…
  • Farshad, Azade; Yeganeh, Yousef; Gehlbach, Peter; Navab, Nassir: Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2022 more…
  • Farshad, Azade; Makarevich, Anastasia; Belagiannis, Vasileios; Navab, Nassir: MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation. In: Domain Adaptation and Representation Transfer. Springer Nature Switzerland, 2022 more…
  • Yeganeh, Yousef; Farshad, Azade; Boschmann, Johann; Gaus, Richard; Frantzen, Maximilian; Navab, Nassir: FedAP: Adaptive Personalization in Federated Learning for Non-IID Data. In: Lecture Notes in Computer Science. Springer Nature Switzerland, 2022 more…
  • Farshad, Azade; Yeganeh, Yousef; Dhamo, Helisa; Tombari, Federico; Navab, Nassir: DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation. 33rd British Machine Vision Conference 2022, BMVC 2022, London, UK, November 21-24, 2022, BMVA Press, 2022 more…
  • Garg, Sarthak; Dhamo, Helisa; Farshad, Azade; Musatian, Sabrina; Navab, Nassir; Tombari, Federico: Unconditional Scene Graph Generation. IEEE International Conference on Computer Vision (ICCV), 2021 more…
  • Farshad, Azade; Musatian, Sabrina; Dhamo, Helisa; Navab, Nassir: MIGS: Meta Image Generation from Scene Graphs. BMVC, 2021 more…
  • Zhang, Yang; Khakzar, Ashkan; Li, Yawei; Farshad, Azade; Kim, Seong Tae; Navab, Nassir: Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information. Thirty-Fifth Conference on Neural Information Processing Systems, 2021 more…
  • Yeganeh, Yousef; Farshad, Azade; Navab, Nassir; Albarqouni, Shadi: Inverse Distance Aggregation for Federated Learning with Non-IID Data. In: Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning. Springer International Publishing, 2020 more…
  • Dhamo, Helisa; Farshad, Azade; Laina, Iro; Navab, Nassir; Hager, Gregory D.; Tombari, Federico; Rupprecht, Christian: Semantic Image Manipulation Using Scene Graphs. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2020 more…
  • Belagiannis, Vasileios; Farshad, Azade; Galasso, Fabio: Adversarial Network Compression. In: Lecture Notes in Computer Science. Springer International Publishing, 2019 more…