Alexander Vezhnevets

Publication Activity (10 Years)

Years Active: 2007-2021
Publications (10 Years): 4

Top Topics

Semantic Segmentation

Reinforcement Learning

Top Venues

Publications

Joel Z. Leibo, Edgar A. Duéñez-Guzmán, Alexander Vezhnevets, John P. Agapiou, Peter Sunehag, Raphael Koster, Jayd Matyas, Charlie Beattie, Igor Mordatch, Thore Graepel
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot. ICML (2021)
Alexander Vezhnevets, Yuhuai Wu, Maria K. Eckstein, Rémi Leblond, Joel Z. Leibo
OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning. ICML (2020)
Alexander Vezhnevets, Volodymyr Mnih, Simon Osindero, Alex Graves, Oriol Vinyals, John P. Agapiou, Koray Kavukcuoglu
Strategic Attentive Writer for Learning Macro-Actions. NIPS (2016)
Alexander Vezhnevets, Volodymyr Mnih, John P. Agapiou, Simon Osindero, Alex Graves, Oriol Vinyals, Koray Kavukcuoglu
Strategic Attentive Writer for Learning Macro-Actions. CoRR (2016)
Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari
Context Forest for Object Class Detection. BMVC (2015)
Abel Gonzalez-Garcia, Alexander Vezhnevets, Vittorio Ferrari
An active search strategy for efficient object class detection. CVPR (2015)
Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari
Joint calibration of Ensemble of Exemplar SVMs. CVPR (2015)
Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari
Joint calibration of Ensemble of Exemplar SVMs. CoRR (2015)
Alexander Vezhnevets, Vittorio Ferrari
Object localization in ImageNet by looking out of the window. BMVC (2015)
Alexander Vezhnevets, Vittorio Ferrari
Looking out of the window: object localization by joint analysis of all windows in the image. CoRR (2015)
Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari
Context Forest for efficient object detection with large mixture models. CoRR (2015)
Abel Gonzalez-Garcia, Alexander Vezhnevets, Vittorio Ferrari
An active search strategy for efficient object detection. CoRR (2014)
Alexander Vezhnevets, Vittorio Ferrari
Associative Embeddings for Large-Scale Knowledge Transfer with Self-Assessment. CVPR (2014)
Alexander Vezhnevets, Vittorio Ferrari
Associative embeddings for large-scale knowledge transfer with self-assessment. CoRR (2013)
Dwarikanath Mahapatra, Alexander Vezhnevets, Peter J. Schüffler, Jeroen A. W. Tielbeek, Franciscus M. Vos, Joachim M. Buhmann
Weakly supervised semantic segmentation of Crohn's disease tissues from abdominal MRI. ISBI (2013)
Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann
Weakly supervised structured output learning for semantic segmentation. CVPR (2012)
Alexander Vezhnevets, Joachim M. Buhmann, Vittorio Ferrari
Active learning for semantic segmentation with expected change. CVPR (2012)
Dmitry Laptev, Alexander Vezhnevets, Sarvesh Dwivedi, Joachim M. Buhmann
Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections. MICCAI (1) (2012)
Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann
Weakly supervised semantic segmentation with a multi-image model. ICCV (2011)
Alexander Vezhnevets, Joachim M. Buhmann
Agnostic Domain Adaptation. DAGM-Symposium (2011)
Alexander Vezhnevets, Joachim M. Buhmann
Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning. CVPR (2010)
Alexander Vezhnevets, Olga Barinova
Avoiding Boosting Overfitting by Removing Confusing Samples. ECML (2007)