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Alexander A. Kolesnikov
Alexander A. Kolesnikov
Google Research, Brain team.
Verified email at google.com
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Cited by
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
95262020
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
18802017
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
1440*2018
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
729*2020
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
6872021
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
A Kolesnikov, CH Lampert
European Conference on Computer Vision (ECCV), 2016
6302016
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
6122019
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
6072019
Scaling Vision Transformers
X Zhai*, A Kolesnikov*, N Houlsby, L Beyer*, *equal contribution
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
2782022
Are we done with ImageNet?
L Beyer*, OJ Henaff*, A Kolesnikov*, X Zhai*, A Oord*, *equal contribution
arXiv preprint arXiv:2006.07159, 2020
1552020
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
1502021
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
682020
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
562021
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
562019
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
492022
The visual task adaptation benchmark
X Zhai*, J Puigcerver*, A Kolesnikov*, P Ruyssen, C Riquelme, M Lucic, ...
arXiv preprint arXiv:1910.04867, 2019
442019
PixelCNN models with Auxiliary Variables for Natural Image Modeling
A Kolesnikov, CH Lampert
International Conference on Machine Learning (ICML), 2017
44*2017
Probabilistic Image Colorization
A Royer*, A Kolesnikov*, CH Lampert, *equal contribution
British Machine Vision Conference (BMVC), 2017
432017
Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation
A Kolesnikov, M Guillaumin, V Ferrari, CH Lampert
European Conference on Computer Vision (ECCV), 2014
29*2014
Improving Weakly-Supervised Object Localization By Micro-Annotation
A Kolesnikov, CH Lampert
British Machine Vision Conference (BMVC), 2016
282016
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