54 citations · 197 across the 23 of their papers we have counts for
4 papers · 1 filter
Deep ViT Features as Dense Visual Descriptors
Shir Amir, Yossi Gandelsman, Shai Bagon +1
We study the use of deep features extracted from a pretrained Vision Transformer (ViT) as dense visual descriptors. We observe and empirically demonstrate that such features, when…
Diverse Generation from a Single Video Made Possible
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…
Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models
Niv Granot, Ben Feinstein, Assaf Shocher +2
Single image generative models perform synthesis and manipulation tasks by capturing the distribution of patches within a single image. The classical (pre Deep Learning) prevailing…
Segmenting Microcalcifications in Mammograms and its Applications
Roee Zamir, Shai Bagon, David Samocha +3
Microcalcifications are small deposits of calcium that appear in mammograms as bright white specks on the soft tissue background of the breast. Microcalcifications may be a unique…