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Ron Slossberg
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Sequence-to-sequence contrastive learning for text recognition
A Aberdam, R Litman, S Tsiper, O Anschel, R Slossberg, S Mazor, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1472021
Efficient deformable shape correspondence via kernel matching
M Vestner, Z Lähner, A Boyarski, O Litany, R Slossberg, T Remez, ...
2017 international conference on 3D vision (3DV), 517-526, 2017
106*2017
Artificial intelligence algorithms to assess hormonal status from tissue microarrays in patients with breast cancer
G Shamai, Y Binenbaum, R Slossberg, I Duek, Z Gil, R Kimmel
JAMA network open 2 (7), e197700-e197700, 2019
1042019
Rule of thumb: Deep derotation for improved fingertip detection
A Wetzler, R Slossberg, R Kimmel
arXiv preprint arXiv:1507.05726, 2015
1042015
High quality facial surface and texture synthesis via generative adversarial networks
R Slossberg, G Shamai, R Kimmel
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
592018
Synthesizing facial photometries and corresponding geometries using generative adversarial networks
G Shamai, R Slossberg, R Kimmel
ACM Transactions on Multimedia Computing, Communications, and Applications …, 2019
372019
SHREC-19: shape correspondence with isometric and non-isometric deformations
R Dyke, C Stride, Y Lai, P Rosin
242019
On calibration of scene-text recognition models
R Slossberg, O Anschel, A Markovitz, R Litman, A Aberdam, S Tsiper, ...
European Conference on Computer Vision, 263-279, 2022
132022
Freehand Laser Scanning Using a Mobile Phone
R Slossberg, W Aaron, K Ron
British Machine Vision Conference (BMVC), 88.1-88.10, 2015
102015
Unsupervised high-fidelity facial texture generation and reconstruction
R Slossberg, I Jubran, R Kimmel
European Conference on Computer Vision, 212-229, 2022
92022
Deep stereo matching with dense CRF priors
R Slossberg, A Wetzler, R Kimmel
arXiv preprint arXiv:1612.01725, 2016
52016
Depth refinement for improved stereo reconstruction
A Bracha, N Rotstein, D Bensaïd, R Slossberg, R Kimmel
arXiv preprint arXiv:2112.08070, 2021
22021
Hybrid machine learning architecture for visual content processing and uses thereof
O Mulla, N Rotstein, A Bracha, R Kimmel, A Zabatani, R Slossberg, ...
US Patent App. 18/145,301, 2024
2024
Custom object tracking using hybrid machine learning
O Mulla, N Rotstein, A Bracha, R Kimmel, A Zabatani, R Slossberg, ...
US Patent App. 18/186,517, 2024
2024
Supplementary Material: Sequence-to-Sequence Contrastive Learning for Text Recognition
A Aberdam, R Litman, S Tsiper, O Anschel, R Slossberg, S Mazor, ...
KERNEL MATCHING
M Vestner, Z Lähner, A Boyarski, R Slossberg, T Remez, O Litany, ...
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