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Alexander Kolesnikov
Alexander Kolesnikov
Google Deepmind
Verified email at google.com
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Cited by
Year
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
A Dosovitskiy*, L Beyer*, A Kolesnikov*, D Weissenborn*, X Zhai*, ...
International Conference on Learning Representations (ICLR), 2020
359472020
iCaRL: Incremental Classifier and Representation Learning
SA Rebuffi, A Kolesnikov, G Sperl, CH Lampert
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2017
36152017
The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale
A Kuznetsova, H Rom, N Alldrin, J Uijlings, I Krasin, J Pont-Tuset, ...
International Journal of Computer Vision (2018), 2018
24452018
MLP-Mixer: An all-MLP Architecture for Vision
I Tolstikhin*, N Houlsby*, A Kolesnikov*, L Beyer*, X Zhai, T Unterthiner, ...
Neural Information Processing Systems (NeurIPS), 2021
21782021
Big Transfer (BiT): General Visual Representation Learning
A Kolesnikov*, L Beyer*, X Zhai*, J Puigcerver, J Yung, S Gelly, ...
European Conference on Computer Vision (ECCV), 2020
12782020
S4L: Self-Supervised Semi-Supervised Learning
X Zhai*, A Oliver*, A Kolesnikov*, L Beyer*, *equal contribution
IEEE/CVF International Conference on Computer Vision (ICCV), 2019
9612019
Scaling Vision Transformers
X Zhai*, A Kolesnikov*, N Houlsby, L Beyer*, *equal contribution
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
8772022
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
A Kolesnikov, CH Lampert
European Conference on Computer Vision (ECCV), 2016
8472016
Revisiting Self-Supervised Visual Representation Learning
A Kolesnikov*, X Zhai*, L Beyer*, *equal contribtion
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
8202019
How to train your vit? data, augmentation, and regularization in vision transformers
A Steiner, A Kolesnikov, X Zhai, R Wightman, J Uszkoreit, L Beyer
Transactions on Machine Learning Research (TMLR), 2021
5062021
Pali: A jointly-scaled multilingual language-image model
X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ...
International Conference on Learning Representations (ICLR), 2022
4112022
LiT: Zero-Shot Transfer with Locked-image Text Tuning
X Zhai, X Wang, B Mustafa, A Steiner, D Keysers, A Kolesnikov, L Beyer
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
4042021
Are we done with ImageNet?
L Beyer*, OJ Henaff*, A Kolesnikov*, X Zhai*, A Oord*, *equal contribution
arXiv preprint arXiv:2006.07159, 2020
3312020
Scaling vision transformers to 22 billion parameters
M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ...
International Conference on Machine Learning, 7480-7512, 2023
2752023
Knowledge distillation: A good teacher is patient and consistent
L Beyer, X Zhai, A Royer, L Markeeva, R Anil, A Kolesnikov
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
2272022
On Robustness and Transferability of Convolutional Neural Networks
J Djolonga, J Yung, M Tschannen, R Romijnders, L Beyer, A Kolesnikov, ...
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
1302020
Sigmoid loss for language image pre-training
X Zhai, B Mustafa, A Kolesnikov, L Beyer
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
872023
Pali-x: On scaling up a multilingual vision and language model
X Chen, J Djolonga, P Padlewski, B Mustafa, S Changpinyo, J Wu, ...
arXiv preprint arXiv:2305.18565, 2023
862023
Detecting Visual Relationships Using Box Attention
A Kolesnikov, A Kuznetsova, CH Lampert, V Ferrari
IEEE/CVF International Conference on Computer Vision (ICCV) workshop on …, 2019
772019
Better plain vit baselines for imagenet-1k
L Beyer, X Zhai, A Kolesnikov
arXiv preprint arXiv:2205.01580, 2022
702022
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