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07/19/2023
TokenFlow: Consistent Diffusion Features for Consistent Video Editing
The generative AI revolution has recently expanded to videos. Neverthele...
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12/12/2022
DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering
Image segmentation is a fundamental task in computer vision. Data annota...
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11/22/2022
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Large-scale text-to-image generative models have been a revolutionary br...
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07/24/2022
Combining Internal and External Constraints for Unrolling Shutter in Videos
Videos obtained by rolling-shutter (RS) cameras result in spatially-dist...
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05/11/2022
Diverse Video Generation from a Single Video
GANs are able to perform generation and manipulation tasks, trained on a...
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01/02/2022
Splicing ViT Features for Semantic Appearance Transfer
We present a method for semantically transferring the visual appearance ...
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12/10/2021
Deep ViT Features as Dense Visual Descriptors
We leverage deep features extracted from a pre-trained Vision Transforme...
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09/17/2021
Diverse Generation from a Single Video Made Possible
Most advanced video generation and manipulation methods train on a large...
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03/29/2021
Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models
Single image generative models perform synthesis and manipulation tasks ...
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02/01/2021
Segmenting Microcalcifications in Mammograms and its Applications
Microcalcifications are small deposits of calcium that appear in mammogr...
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10/28/2020
Point of Care Image Analysis for COVID-19
Early detection of COVID-19 is key in containing the pandemic. Disease d...
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03/19/2020
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning
When a very fast dynamic event is recorded with a low-framerate camera, ...
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12/01/2018
Internal Distribution Matching for Natural Image Retargeting
Good Visual Retargeting changes the global size and aspect ratio of a na...
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10/27/2012
Discrete Energy Minimization, beyond Submodularity: Applications and Approximations
In this thesis I explore challenging discrete energy minimization proble...
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10/26/2012
A Multiscale Framework for Challenging Discrete Optimization
Current state-of-the-art discrete optimization methods struggle behind w...
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04/22/2012
A Unified Multiscale Framework for Discrete Energy Minimization
Discrete energy minimization is a ubiquitous task in computer vision, ye...
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12/13/2011
