| Abc: A big cad model dataset for geometric deep learning S Koch, A Matveev, Z Jiang, F Williams, A Artemov, E Burnaev, M Alexa, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 356 | 2019 |
| Latent Video Transformer R Rakhimov, D Volkhonskiy, A Artemov, D Zorin, E Burnaev 16th International Joint Conference on Computer Vision, Imaging and Computer …, 2021 | 91 | 2021 |
| Monocular 3D Object Detection via Geometric Reasoning on Keypoints I Barabanau, A Artemov, E Burnaev, V Murashkin 15th International Joint Conference on Computer Vision, Imaging and Computer …, 2020 | 60 | 2020 |
| Deep vectorization of technical drawings V Egiazarian, O Voynov, A Artemov, D Volkhonskiy, A Safin, ... European conference on computer vision, 582-598, 2020 | 47 | 2020 |
| Perceptual deep depth super-resolution O Voynov, A Artemov, V Egiazarian, A Notchenko, G Bobrovskikh, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 42 | 2019 |
| Voxelwise 3D Convolutional and Recurrent Neural Networks for Epilepsy and Depression Diagnostics from Structural and Functional MRI Data M Pominova, A Artemov, M Sharaev, E Kondrateva, A Bernstein, ... 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 299-307, 2018 | 39 | 2018 |
| Ensembles of detectors for online detection of transient changes A Artemov, E Burnaev Eighth International Conference on Machine Vision (ICMV 2015) 9875, 98751Z, 2015 | 32 | 2015 |
| Def: Deep estimation of sharp geometric features in 3d shapes A Matveev, R Rakhimov, A Artemov, G Bobrovskikh, V Egiazarian, ... ACM Transactions on Graphics 41 (4), 2022 | 27 | 2022 |
| Cad-deform: Deformable fitting of cad models to 3d scans V Ishimtsev, A Bokhovkin, A Artemov, S Ignatyev, M Niessner, D Zorin, ... Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 23 | 2020 |
| Nonparametric decomposition of quasi-periodic time series for change-point detection A Artemov, E Burnaev, A Lokot Eighth International Conference on Machine Vision (ICMV 2015) 9875, 987520, 2015 | 23 | 2015 |
| Pattern recognition pipeline for neuroimaging data M Sharaev, A Andreev, A Artemov, E Burnaev, E Kondratyeva, ... Artificial Neural Networks in Pattern Recognition: 8th IAPR TC3 Workshop …, 2018 | 20 | 2018 |
| Detecting performance degradation of software-intensive systems in the presence of trends and long-range dependence A Artemov, E Burnaev 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), 29-36, 2016 | 20 | 2016 |
| Learning Connectivity Patterns via Graph Kernels for fMRI-Based Depression Diagnostics M Sharaev, A Artemov, E Kondrateva, S Ivanov, S Sushchinskaya, ... 2018 IEEE International Conference on Data Mining Workshops (ICDMW), 308-314, 2018 | 18 | 2018 |
| Mri-based diagnostics of depression concomitant with epilepsy: in search of the potential biomarkers M Sharaev, A Artemov, E Kondrateva, S Sushchinskaya, E Burnaev, ... 2018 IEEE 5th International Conference on Data Science and Advanced …, 2018 | 18 | 2018 |
| Optimal estimation of a signal perturbed by a fractional brownian noise AV Artemov, EV Burnaev Theory of Probability & Its Applications 60 (1), 126-134, 2016 | 17 | 2016 |
| Procedural synthesis of remote sensing images for robust change detection with neural networks M Kolos, A Marin, A Artemov, E Burnaev Advances in Neural Networks–ISNN 2019: 16th International Symposium on …, 2019 | 11 | 2019 |
| Towards Part-Based Understanding of RGB-D Scans A Bokhovkin, V Ishimtsev, E Bogomolov, D Zorin, A Artemov, E Burnaev, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 9 | 2021 |
| Weakly Supervised Fine Tuning Approach for Brain Tumor Segmentation Problem S Pavlov, A Artemov, M Sharaev, A Bernstein, E Burnaev 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | 9 | 2019 |
| Data-driven models and computational tools for neurolinguistics: a language technology perspective E Artemova, A Bakarov, A Artemov, E Burnaev, M Sharaev arXiv preprint arXiv:2003.10540, 2020 | 7 | 2020 |
| 3d parametric wireframe extraction based on distance fields A Matveev, A Artemov, D Zorin, E Burnaev Proceedings of the 2021 4th International Conference on Artificial …, 2021 | 6 | 2021 |
Evgeny BurnaevSkoltech, Full Professor, Head of Applied AI center, Head of research group, AIRIVerified email at skoltech.ru
