| 2021 | ICML | Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot. | Joel Z. Leibo, Edgar A. Duez-Guzmn, Alexander Vezhnevets, John P. Agapiou, Peter Sunehag, Raphael Koster, Jayd Matyas, Charlie Beattie, Igor Mordatch, Thore Graepel |
| 2020 | ICML | OPtions as REsponses: Grounding behavioural hierarchies in multi-agent reinforcement learning. | Alexander Vezhnevets, Yuhuai Wu, Maria K. Eckstein, Rmi Leblond, Joel Z. Leibo |
| 2015 | BMVC | Context Forest for Object Class Detection. | Davide Modolo, Alexander Vezhnevets, Vittorio Ferrari |
| 2015 | BMVC | Object localization in ImageNet by looking out of the window. | Alexander Vezhnevets, Vittorio Ferrari |
| 2015 | CVPR | An active search strategy for efficient object class detection. | Abel Gonzalez-Garcia, Alexander Vezhnevets, Vittorio Ferrari |
| 2015 | CVPR | Joint calibration of Ensemble of Exemplar SVMs. | Davide Modolo, Alexander Vezhnevets, Olga Russakovsky, Vittorio Ferrari |
| 2014 | CVPR | Associative Embeddings for Large-Scale Knowledge Transfer with Self-Assessment. | Alexander Vezhnevets, Vittorio Ferrari |
| 2012 | CVPR | Active learning for semantic segmentation with expected change. | Alexander Vezhnevets, Joachim M. Buhmann, Vittorio Ferrari |
| 2012 | CVPR | Weakly supervised structured output learning for semantic segmentation. | Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann |
| 2012 | MICCAI | Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections. | Dmitry Laptev, Alexander Vezhnevets, Sarvesh Dwivedi, Joachim M. Buhmann |
| 2011 | ICCV | Weakly supervised semantic segmentation with a multi-image model. | Alexander Vezhnevets, Vittorio Ferrari, Joachim M. Buhmann |
| 2010 | CVPR | Towards weakly supervised semantic segmentation by means of multiple instance and multitask learning. | Alexander Vezhnevets, Joachim M. Buhmann |