Alexander A. Kolesnikov
Alexander A. Kolesnikov
Google Research, Brain team (Zurich)
Verified email at google.com
Title
Cited by
Cited by
Year
iCaRL: Incremental Classifier and Representation Learning
SA Rebuffi, A Kolesnikov, G Sperl, CH Lampert
CVPR 2017, 2017
4452017
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
A Kolesnikov, CH Lampert
ECCV 2016, 2016
2692016
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, ...
arXiv preprint arXiv:1811.00982, 2018
2632018
Revisiting Self-Supervised Visual Representation Learning
A Kolesnikov*, X Zhai*, L Beyer*, *equal contribtion
CVPR 2019, 2019
1162019
S4L: Self-Supervised Semi-Supervised Learning
X Zhai*, A Oliver*, A Kolesnikov*, L Beyer*, *equal contribution
ICCV 2019, 2019
742019
Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation
A Kolesnikov, M Guillaumin, V Ferrari, CH Lampert
ECCV 2014, 2014
31*2014
PixelCNN models with Auxiliary Variables for Natural Image Modeling
A Kolesnikov, CH Lampert
ICML 2017, 2017
28*2017
Big Transfer (BiT): General Visual Representation Learning
A Kolesnikov*, L Beyer*, X Zhai*, J Puigcerver, J Yung, S Gelly, ...
ECCV 2020, 2020
21*2020
Detecting Visual Relationships Using Box Attention
A Kolesnikov, A Kuznetsova, CH Lampert, V Ferrari
ICCV 2019 Workshop on Scene Graph Representation and Learning, 2019
162019
Probabilistic Image Colorization
A Royer*, A Kolesnikov*, CH Lampert, *equal contribution
BMVC 2017, 2017
162017
Improving Weakly-Supervised Object Localization By Micro-Annotation
A Kolesnikov, CH Lampert
BMVC 2016, 2016
162016
The visual task adaptation benchmark
X Zhai*, J Puigcerver*, A Kolesnikov*, P Ruyssen, C Riquelme, M Lucic, ...
arXiv preprint arXiv:1910.04867, 2019
152019
Estimating barriers to gene flow from distorted isolation-by-distance patterns
H Ringbauer, A Kolesnikov, DL Field, NH Barton
Genetics 208 (3), 1231-1245, 2018
132018
Predicting CTR of new ads via click prediction
A Kolesnikov, Y Logachev, V Topinskiy
CIKM 2012, 2012
72012
Are we done with ImageNet?
L Beyer*, OJ Henaff*, A Kolesnikov*, X Zhai*, A Oord*, *equal contribution
arXiv preprint arXiv:2006.07159, 2020
2020
Identifying Reliable Annotations for Large Scale Image Segmentation
A Kolesnikov, CH Lampert
2015
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Articles 1–16