Alexander (Sasha) Vezhnevets
Alexander (Sasha) Vezhnevets
Research Scientist, Google DeepMind
Dirección de correo verificada de google.com
TítuloCitado porAño
FeUdal Networks for Hierarchical Reinforcement Learning
AS Vezhnevets, S Osindero, T Schaul, N Heess, M Jaderberg, D Silver, ...
ICML, 2017
2632017
Starcraft ii: A new challenge for reinforcement learning
O Vinyals, T Ewalds, S Bartunov, P Georgiev, AS Vezhnevets, M Yeo, ...
arXiv preprint arXiv:1708.04782, 2017
2562017
Modest adaboost: teaching AdaBoost to generalize better.
A Vezhnevets, V Vezhnevets
GraphiCon, 2005
2252005
Weakly Supervised Semantic Segmentation with a Multi-image Model
A Vezhnevets, V Ferrari, J Buhmann
Computer Vision (ICCV), 2011 IEEE International Conference on, 3249-3256, 2011
1512011
Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning
A Vezhnevets, JM Buhmann
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010
1502010
Weakly Supervised Structured Output Learning for Semantic Segmentation
A Vezhnevets, V Ferrari, JM Buhmann
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012
1462012
Strategic Attentive Writer for Learning Macro-Actions
A Vezhnevets, V Mnih, J Agapiou, S Osindero, A Graves, O Vinyals, ...
arXiv preprint arXiv:1606.04695, 2016
97*2016
Active Learning for Semantic Segmentation with Expected Change
A Vezhnevets, JM Buhmann, V Ferrari
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2012
842012
Avoiding boosting overfitting by removing confusing samples
A Vezhnevets, O Barinova
Machine Learning: ECML 2007, 430-441, 2007
772007
An active search strategy for efficient object class detection
A Gonzalez-Garcia, A Vezhnevets, V Ferrari
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
602015
Gml adaboost matlab toolbox manual
A Vezhnevets, V Vezhnevets
Moscow: MSU Graphics & Media Lab, 2010
49*2010
Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections
D Laptev, A Vezhnevets, S Dwivedi, JM Buhmann
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2012
362012
Weakly Supervised Semantic Segmentation of Crohn's Disease Tissues from Abnominal MRI
D Mahapatra, A Vezhnevets, PJ Schuffler, JAW Tielbeek, FM Vos, ...
International Symposium on Biomedical Imaging, 2013
222013
Associative embeddings for large-scale knowledge transfer with self-assessment
A Vezhnevets, V Ferrari
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, 2014
212014
Looking out of the window: object localization by joint analysis of all windows in the image
A Vezhnevets, V Ferrari
CoRR, abs/1501.01181 4, 2015
18*2015
Learning class specific edges for vanishing point estimation
O Barinova, A Kuzmishkina, A Vezhnvets, V Vezhnevets
Proc. of Graphicon, 162-165, 2007
172007
Joint calibration of ensemble of exemplar svms
D Modolo, A Vezhnevets, O Russakovsky, V Ferrari
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
142015
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
Nature 575 (7782), 350-354, 2019
102019
Context forest for efficient object detection with large mixture models
D Modolo, A Vezhnevets, V Ferrari
arXiv preprint arXiv:1503.00787, 2015
42015
Context Forest for Object Class Detection.
D Modolo, A Vezhnevets, V Ferrari
BMVC, 188.1-188.14, 2015
42015
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20