Shai Bagon
Shai Bagon
Research Associate, Weizmann Institute of Science
Verified email at weizmann.ac.il - Homepage
Title
Cited by
Cited by
Year
Super-resolution from a single image
D Glasner, S Bagon, M Irani
Proceedings of the IEEE International Conference on Computer Vision, Kyoto …, 2009
19952009
Decision Tree Fields
S Nowozin, C Rother, S Bagon, T Sharp, B Yao, P Kohli
international conference on computer vision, 2011
1572011
What is a good image segment? a unified approach to segment extraction
S Bagon, O Boiman, M Irani
European Conference on Computer Vision, 30-44, 2008
1422008
Matlab wrapper for graph cut
S Bagon
992006
Ingan: Capturing and remapping the" dna" of a natural image
A Shocher, S Bagon, P Isola, M Irani
arXiv preprint arXiv:1812.00231, 2018
78*2018
Large scale correlation clustering optimization
S Bagon, M Galun
arXiv preprint arXiv:1112.2903, 2011
622011
Detecting and sketching the common
S Bagon, O Brostovski, M Galun, M Irani
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
572010
Content aware slideshows
E Shechtman, S Bagon, AO Agarwala
US Patent 8,811,771, 2014
522014
SUPER RESOLUTION FROM A SINGLE SIGNAL
M Irani, D Glasner, O Shahar, S Bagon, Y RESEARCH, ...
US Patent 20,120,086,850, 2012
352012
Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning
L Pollak Zuckerman, E Naor, G Pisha, S Bagon, M Irani
arXiv e-prints, arXiv: 2003.08872, 2020
9*2020
Boundary Driven Interactive Segmentation
S Bagon
3rd international conference on information science and application, 68--72, 2012
92012
A Multiscale Framework for Challenging Discrete Optimization
S Bagon, M Galun
NIPS, 2012
82012
MATLAB interface for EDISON
S Bagon
The Weizmann Institute of Science, Computer Vision Lab, 2012
62012
Decision tree fields: An efficient non-parametric random field model for image labeling
S Nowozin, C Rother, S Bagon, T Sharp, B Yao, P Kohli
Decision Forests for Computer Vision and Medical Image Analysis, 295-309, 2013
52013
Discrete Energy Minimization, beyond Submodularity: Applications and Approximations
S Bagon
arXiv preprint arXiv:1210.7362, 2012
42012
A unified multiscale framework for discrete energy minimization
S Bagon, M Galun
arXiv preprint arXiv:1204.4867, 2012
42012
Assessment of COVID-19 in lung ultrasound by combining anatomy and sonographic artifacts using deep learning
S Bagon, M Galun, O Frank, N Schipper, M Vaturi, G Zalcberg, G Soldati, ...
The Journal of the Acoustical Society of America 148 (4), 2736-2736, 2020
22020
Point of Care Image Analysis for COVID-19
D Yaron, D Keidar, E Goldstein, Y Shachar, A Blass, O Frank, N Schipper, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
12021
Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models
N Granot, A Shocher, B Feinstein, S Bagon, M Irani
arXiv preprint arXiv:2103.15545, 2021
12021
A Framework for Integrating Domain Knowledge into Deep Networks for Lung Ultrasound, and its Applications to COVID-19
O Frank, N Schipper, M Vaturi, G Soldati, A Smargiassi, R Inchingolo, ...
preprint, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–20