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Mert Bülent Sarıyıldız
Mert Bülent Sarıyıldız
NAVER LABS Europe
Verified email at naverlabs.com - Homepage
Title
Cited by
Cited by
Year
Hard negative mixing for contrastive learning
Y Kalantidis, MB Sariyildiz, N Pion, P Weinzaepfel, D Larlus
Advances in neural information processing systems 33, 21798-21809, 2020
5322020
Gradient matching generative networks for zero-shot learning
MB Sariyildiz, RG Cinbis
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2168-2178, 2019
1592019
Learning Visual Representations with Caption Annotations
MB Sariyildiz, J Perez, L Diane
European Conference on Computer Vision (ECCV), 153-170, 2020
1482020
Fake it till you make it: Learning (s) from a synthetic imagenet clone
MB Sariyildiz, K Alahari, D Larlus, Y Kalantidis
65*2022
Concept generalization in visual representation learning
MB Sariyildiz, Y Kalantidis, D Larlus, K Alahari
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
402021
No reason for no supervision: Improved generalization in supervised models
MB Sariyildiz, Y Kalantidis, K Alahari, D Larlus
arXiv preprint arXiv:2206.15369, 2022
18*2022
Key protected classification for collaborative learning
MB Sariyildiz, RG Cinbis, E Ayday
Pattern Recognition 104, 107327, 2020
112020
Method for training a convolutional neural network for image recognition using image-conditioned masked language modeling
D Larlus-Larrondo, J Perez, MB Sariyildiz
US Patent 11,263,753, 2022
82022
A Recurrent and Meta-learned Model of Weakly Supervised Object Localization
MB Sariyildiz, G Sumbul, RG Cinbis
2022 International Symposium on Multidisciplinary Studies and Innovative …, 2022
2022
Unsupervised contrastive learning of visual representations using negative mixing
I Kalantidis, D Larlus, P Weinzaepfel, MB Sariyildiz, P Noé
US Patent App. 17/239,501, 2022
2022
Supplementary Material for Fake it till you make it: Learning transferable representations from synthetic ImageNet clones
MB Sariyildiz, K Alahari, D Larlus, Y Kalantidis
Supplementary material for Concept Generalization in Visual Representation Learning
MB Sariyildiz, Y Kalantidis, D Larlus, K Alahari
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