Ron Slossberg
Citado por
Citado por
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
Rule of thumb: Deep derotation for improved fingertip detection
A Wetzler, R Slossberg, R Kimmel
arXiv preprint arXiv:1507.05726, 2015
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
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
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
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
Shape correspondence with isometric and non-isometric deformations
RM Dyke, C Stride, YK Lai, PL Rosin, M Aubry, A Boyarski, AM Bronstein, ...
The Eurographics Association, 2019
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
Freehand Laser Scanning Using a Mobile Phone
R Slossberg, W Aaron, K Ron
British Machine Vision Conference (BMVC), 88.1-88.10, 2015
Unsupervised High-Fidelity Facial Texture Generation and Reconstruction
R Slossberg, I Jubran, R Kimmel
European Conference on Computer Vision, 212-229, 2022
Deep stereo matching with dense CRF priors
R Slossberg, A Wetzler, R Kimmel
arXiv preprint arXiv:1612.01725, 2016
Depth Refinement for Improved Stereo Reconstruction
A Bracha, N Rotstein, D Bensaïd, R Slossberg, R Kimmel
arXiv preprint arXiv:2112.08070, 2021
Supplementary Material: Sequence-to-Sequence Contrastive Learning for Text Recognition
A Aberdam, R Litman, S Tsiper, O Anschel, R Slossberg, S Mazor, ...
M Vestner, Z Lähner, A Boyarski, R Slossberg, T Remez, O Litany, ...
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–14