Shai Bagon

Orcid: 0000-0002-6057-4263

According to our database1, Shai Bagon authored at least 27 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Disentangling Structure and Appearance in ViT Feature Space.
ACM Trans. Graph., February, 2024

TokenFlow: Consistent Diffusion Features for Consistent Video Editing.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

DINO-Tracker: Taming DINO for Self-supervised Point Tracking in a Single Video.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
DeepCut: Unsupervised Segmentation using Graph Neural Networks Clustering.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Integrating Domain Knowledge Into Deep Networks for Lung Ultrasound With Applications to COVID-19.
IEEE Trans. Medical Imaging, 2022

Diverse Video Generation from a Single Video.
CoRR, 2022

Combining Internal and External Constraints for Unrolling Shutter in Videos.
Proceedings of the Computer Vision - ECCV 2022, 2022

Diverse Generation from a Single Video Made Possible.
Proceedings of the Computer Vision - ECCV 2022, 2022

On the Effectiveness of ViT Features as Local Semantic Descriptors.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Splicing ViT Features for Semantic Appearance Transfer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Deep ViT Features as Dense Visual Descriptors.
CoRR, 2021

Segmenting microcalcifications in mammograms and its applications.
Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021


2020
Across Scales \& Across Dimensions: Temporal Super-Resolution using Deep Internal Learning.
CoRR, 2020

Across Scales and Across Dimensions: Temporal Super-Resolution Using Deep Internal Learning.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
InGAN: Capturing and Retargeting the "DNA" of a Natural Image.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Internal Distribution Matching for Natural Image Retargeting.
CoRR, 2018

2012
Discrete Energy Minimization, beyond Submodularity: Applications and Approximations
CoRR, 2012

A Multiscale Framework for Challenging Discrete Optimization
CoRR, 2012

A Unified Multiscale Framework for Discrete Energy Minimization
CoRR, 2012

2011
Large Scale Correlation Clustering Optimization
CoRR, 2011

Decision tree fields.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2010
Detecting and sketching the common.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Super-resolution from a single image.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
What Is a Good Image Segment? A Unified Approach to Segment Extraction.
Proceedings of the Computer Vision, 2008


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