7 citations · 12 across the 6 of their papers we have counts for
7 papers
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation
Azade Farshad, Yousef Yeganeh, Helisa Dhamo +2
Graph representation of objects and their relations in a scene, known as a scene graph, provides a precise and discernible interface to manipulate a scene by modifying the nodes or…
MIGS: Meta Image Generation from Scene Graphs
Azade Farshad, Sabrina Musatian, Helisa Dhamo +1
Generation of images from scene graphs is a promising direction towards explicit scene generation and manipulation. However, the images generated from the scene graphs lack quality…
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation
Anastasia Makarevich, Azade Farshad, Vasileios Belagiannis +1
The lack of sufficient annotated image data is a common issue in medical image segmentation. For some organs and densities, the annotation may be scarce, leading to poor model trai…
Unconditional Scene Graph Generation
Sarthak Garg, Helisa Dhamo, Azade Farshad +3
Despite recent advancements in single-domain or single-object image generation, it is still challenging to generate complex scenes containing diverse, multiple objects and their in…
Inverse Distance Aggregation for Federated Learning with Non-IID Data
Yousef Yeganeh, Azade Farshad, Nassir Navab +1
Federated learning (FL) has been a promising approach in the field of medical imaging in recent years. A critical problem in FL, specifically in medical scenarios is to have a more…
Semantic Image Manipulation Using Scene Graphs
Helisa Dhamo, Azade Farshad, Iro Laina +4
Image manipulation can be considered a special case of image generation where the image to be produced is a modification of an existing image. Image generation and manipulation hav…