Alexander A. Kolesnikov
Alexander A. Kolesnikov
Research SWE, Google Brain
Verified email at google.com
TitleCited byYear
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
A Kolesnikov, CH Lampert
ECCV 2016, 2016
1082016
iCaRL: Incremental Classifier and Representation Learning
SA Rebuffi, A Kolesnikov, G Sperl, CH Lampert
CVPR 2017, 2017
922017
Closed-Form Training of Conditional Random Fields for Large Scale Image Segmentation
A Kolesnikov, M Guillaumin, V Ferrari, CH Lampert
ECCV 2014, 2014
19*2014
PixelCNN models with Auxiliary Variables for Natural Image Modeling
A Kolesnikov, CH Lampert
ICML 2017, 2017
13*2017
Improving Weakly-Supervised Object Localization By Micro-Annotation
A Kolesnikov, CH Lampert
BMVC 2016, 2016
102016
Estimating barriers to gene flow from distorted isolation by distance patterns
H Ringbauer, A Kolesnikov, DL Field, NH Barton
Genetics, genetics. 300638.2017, 2018
62018
Predicting CTR of new ads via click prediction
A Kolesnikov, Y Logachev, V Topinskiy
CIKM 2012, 2012
62012
Probabilistic Image Colorization
A Royer*, A Kolesnikov*, CH Lampert, (* = equal contribution)
BMVC 2017, 2017
42017
Detecting Visual Relationships Using Box Attention
A Kolesnikov, CH Lampert, V Ferrari
https://arxiv.org/abs/1807.02136, 2018
12018
Identifying Reliable Annotations for Large Scale Image Segmentation
A Kolesnikov, CH Lampert
2015
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Articles 1–10