The generative AI revolution has recently expanded to videos. Neverthele...
Image segmentation is a fundamental task in computer vision. Data annota...
Large-scale text-to-image generative models have been a revolutionary
br...
Videos obtained by rolling-shutter (RS) cameras result in spatially-dist...
GANs are able to perform generation and manipulation tasks, trained on a...
We present a method for semantically transferring the visual appearance ...
We leverage deep features extracted from a pre-trained Vision Transforme...
Most advanced video generation and manipulation methods train on a large...
Single image generative models perform synthesis and manipulation tasks ...
Microcalcifications are small deposits of calcium that appear in mammogr...
Early detection of COVID-19 is key in containing the pandemic. Disease
d...
When a very fast dynamic event is recorded with a low-framerate camera, ...
Good Visual Retargeting changes the global size and aspect ratio of a na...
In this thesis I explore challenging discrete energy minimization proble...
Current state-of-the-art discrete optimization methods struggle behind w...
Discrete energy minimization is a ubiquitous task in computer vision, ye...
Clustering is a fundamental task in unsupervised learning. The focus of ...