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Leonid Karlinsky
Leonid Karlinsky
Research Scientist & Manager, IBM Research AI
Verified email at weizmann.ac.il - Homepage
Title
Cited by
Cited by
Year
Delta-encoder: an effective sample synthesis method for few-shot object recognition
E Schwartz, L Karlinsky, J Shtok, S Harary, M Marder, A Kumar, R Feris, ...
Advances in neural information processing systems 31, 2018
2252018
Repmet: Representative-based metric learning for classification and few-shot object detection
L Karlinsky, J Shtok, S Harary, E Schwartz, A Aides, R Feris, R Giryes, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
2212019
A broader study of cross-domain few-shot learning
Y Guo, NC Codella, L Karlinsky, JV Codella, JR Smith, K Saenko, ...
ECCV, 2020
126*2020
A region based convolutional network for tumor detection and classification in breast mammography
A Akselrod-Ballin, L Karlinsky, S Alpert, S Hasoul, R Ben-Ari, E Barkan
Deep learning and data labeling for medical applications, 197-205, 2016
1242016
Co-regularized alignment for unsupervised domain adaptation
A Kumar, P Sattigeri, K Wadhawan, L Karlinsky, R Feris, B Freeman, ...
Advances in Neural Information Processing Systems 31, 2018
1172018
The chains model for detecting parts by their context
L Karlinsky, M Dinerstein, D Harari, S Ullman
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
922010
Laso: Label-set operations networks for multi-label few-shot learning
A Alfassy, L Karlinsky, A Aides, J Shtok, S Harary, R Feris, R Giryes, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
692019
Using linking features in learning non-parametric part models
L Karlinsky, S Ullman
European Conference on Computer Vision, 326-339, 2012
592012
Ar-net: Adaptive frame resolution for efficient action recognition
Y Meng, CC Lin, R Panda, P Sattigeri, L Karlinsky, A Oliva, K Saenko, ...
European Conference on Computer Vision, 86-104, 2020
562020
Fine-grained recognition of thousands of object categories with single-example training
L Karlinsky, J Shtok, Y Tzur, A Tzadok
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
522017
Baby steps towards few-shot learning with multiple semantics
E Schwartz, L Karlinsky, R Feris, R Giryes, A Bronstein
Pattern Recognition Letters, 2022
512022
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification
M Lichtenstein, P Sattigeri, R Feris, R Giryes, L Karlinsky
ECCV, 2020
412020
Deep learning for automatic detection of abnormal findings in breast mammography
A Akselrod-Ballin, L Karlinsky, A Hazan, R Bakalo, AB Horesh, Y Shoshan, ...
Deep learning in medical image analysis and multimodal learning for clinical …, 2017
412017
Domain specific convolutional neural nets for detection of architectural distortion in mammograms
R Ben-Ari, A Akselrod-Ballin, L Karlinsky, S Hashoul
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017
312017
A CNN based method for automatic mass detection and classification in mammograms
A Akselrod-Ballin, L Karlinsky, S Alpert, S Hashoul, R Ben-Ari, E Barkan
Computer Methods in Biomechanics and Biomedical Engineering: Imaging …, 2019
252019
Unsupervised classification and part localization by consistency amplification
L Karlinsky, M Dinerstein, D Levi, S Ullman
European conference on computer vision, 321-335, 2008
232008
Adafuse: Adaptive temporal fusion network for efficient action recognition
Y Meng, R Panda, CC Lin, P Sattigeri, L Karlinsky, K Saenko, A Oliva, ...
arXiv preprint arXiv:2102.05775, 2021
212021
Fine-grained angular contrastive learning with coarse labels
G Bukchin, E Schwartz, K Saenko, O Shahar, R Feris, R Giryes, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
172021
A broad study on the transferability of visual representations with contrastive learning
A Islam, CFR Chen, R Panda, L Karlinsky, R Radke, R Feris
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
162021
OnlineAugment: Online data augmentation with less domain knowledge
Z Tang, Y Gao, L Karlinsky, P Sattigeri, R Feris, D Metaxas
European Conference on Computer Vision, 313-329, 2020
152020
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Articles 1–20