54 citations · 197 across the 23 of their papers we have counts for
6 papers · 1 filter
Detecting Bone Lesions in X-Ray Under Diverse Acquisition Conditions
Tal Zimbalist, Ronnie Rosen, Keren Peri-Hanania +6
The diagnosis of primary bone tumors is challenging, as the initial complaints are often non-specific. Early detection of bone cancer is crucial for a favorable prognosis. Incident…
DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering
Amit Aflalo, Shai Bagon, Tamar Kashti +1
Image segmentation is a fundamental task in computer vision. Data annotation for training supervised methods can be labor-intensive, motivating unsupervised methods. Current approa…
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Narek Tumanyan, Michal Geyer, Shai Bagon +1
Large-scale text-to-image generative models have been a revolutionary breakthrough in the evolution of generative AI, allowing us to synthesize diverse images that convey highly co…
Combining Internal and External Constraints for Unrolling Shutter in Videos
Eyal Naor, Itai Antebi, Shai Bagon +1
Videos obtained by rolling-shutter (RS) cameras result in spatially-distorted frames. These distortions become significant under fast camera/scene motions. Undoing effects of RS is…
Diverse Video Generation from a Single Video
Niv Haim, Ben Feinstein, Niv Granot +4
GANs are able to perform generation and manipulation tasks, trained on a single video. However, these single video GANs require unreasonable amount of time to train on a single vid…
Splicing ViT Features for Semantic Appearance Transfer
Narek Tumanyan, Omer Bar-Tal, Shai Bagon +1
We present a method for semantically transferring the visual appearance of one natural image to another. Specifically, our goal is to generate an image in which objects in a source…