Shai Bagon | DeepAI

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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...

0 Michal Geyer, et al. ∙

∙ 12/12/2022

DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering

Image segmentation is a fundamental task in computer vision. Data annota...

0 Amit Aflalo, et al. ∙

∙ 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...

0 Narek Tumanyan, et al. ∙

∙ 07/24/2022

Combining Internal and External Constraints for Unrolling Shutter in Videos

Videos obtained by rolling-shutter (RS) cameras result in spatially-dist...

0 Eyal Naor, et al. ∙

∙ 05/11/2022

Diverse Video Generation from a Single Video

GANs are able to perform generation and manipulation tasks, trained on a...

18 Niv Haim, et al. ∙

∙ 01/02/2022

Splicing ViT Features for Semantic Appearance Transfer

We present a method for semantically transferring the visual appearance ...

4 Narek Tumanyan, et al. ∙

∙ 12/10/2021

Deep ViT Features as Dense Visual Descriptors

We leverage deep features extracted from a pre-trained Vision Transforme...

0 Shir Amir, et al. ∙

∙ 09/17/2021

Diverse Generation from a Single Video Made Possible

Most advanced video generation and manipulation methods train on a large...

6 Niv Haim, et al. ∙

∙ 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 ...

0 Niv Granot, et al. ∙

∙ 02/01/2021

Segmenting Microcalcifications in Mammograms and its Applications

Microcalcifications are small deposits of calcium that appear in mammogr...

18 Roee Zamir, et al. ∙

∙ 10/28/2020

Point of Care Image Analysis for COVID-19

Early detection of COVID-19 is key in containing the pandemic. Disease d...

0 Daniel Yaron, et al. ∙

∙ 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, ...

0 Liad Pollak Zuckerman, et al. ∙

∙ 12/01/2018

Internal Distribution Matching for Natural Image Retargeting

Good Visual Retargeting changes the global size and aspect ratio of a na...

0 Assaf Shocher, et al. ∙

∙ 10/27/2012

Discrete Energy Minimization, beyond Submodularity: Applications and Approximations

In this thesis I explore challenging discrete energy minimization proble...

0 Shai Bagon, et al. ∙

∙ 10/26/2012

A Multiscale Framework for Challenging Discrete Optimization

Current state-of-the-art discrete optimization methods struggle behind w...

0 Shai Bagon, et al. ∙

∙ 04/22/2012

A Unified Multiscale Framework for Discrete Energy Minimization

Discrete energy minimization is a ubiquitous task in computer vision, ye...

0 Shai Bagon, et al. ∙

∙ 12/13/2011

Large Scale Correlation Clustering Optimization

Clustering is a fundamental task in unsupervised learning. The focus of ...

0 Shai Bagon, et al. ∙

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