Wide residual networks S Zagoruyko, N Komodakis arXiv preprint arXiv:1605.07146, 2016 | 2970 | 2016 |
Learning to compare image patches via convolutional neural networks S Zagoruyko, N Komodakis Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 1089 | 2015 |
Unsupervised representation learning by predicting image rotations S Gidaris, P Singh, N Komodakis arXiv preprint arXiv:1803.07728, 2018 | 647 | 2018 |
Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer S Zagoruyko, N Komodakis arXiv preprint arXiv:1612.03928, 2016 | 616 | 2016 |
Object detection via a multi-region and semantic segmentation-aware cnn model S Gidaris, N Komodakis Proceedings of the IEEE international conference on computer vision, 1134-1142, 2015 | 574 | 2015 |
Convolutional neural networks for P300 detection with application to brain-computer interfaces H Cecotti, A Graser IEEE transactions on pattern analysis and machine intelligence 33 (3), 433-445, 2010 | 562 | 2010 |
Dense image registration through MRFs and efficient linear programming B Glocker, N Komodakis, G Tziritas, N Navab, N Paragios Medical image analysis 12 (6), 731-741, 2008 | 494 | 2008 |
Dynamic edge-conditioned filters in convolutional neural networks on graphs M Simonovsky, N Komodakis Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 478 | 2017 |
Image completion using efficient belief propagation via priority scheduling and dynamic pruning N Komodakis, G Tziritas IEEE Transactions on Image Processing 16 (11), 2649-2661, 2007 | 429 | 2007 |
MRF energy minimization and beyond via dual decomposition N Komodakis, N Paragios, G Tziritas IEEE transactions on pattern analysis and machine intelligence 33 (3), 531-552, 2010 | 371 | 2010 |
Dynamic few-shot visual learning without forgetting S Gidaris, N Komodakis Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 370 | 2018 |
MRF optimization via dual decomposition: Message-passing revisited N Komodakis, N Paragios, G Tziritas 2007 IEEE 11th International Conference on Computer Vision, 1-8, 2007 | 360 | 2007 |
Image completion using global optimization N Komodakis 2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006 | 324 | 2006 |
Markov random fields for vision and image processing A Blake, P Kohli, C Rother Mit Press, 2011 | 308 | 2011 |
Approximate labeling via graph cuts based on linear programming N Komodakis, G Tziritas IEEE transactions on pattern analysis and machine intelligence 29 (8), 1436-1453, 2007 | 298 | 2007 |
Playing with duality: An overview of recent primal? dual approaches for solving large-scale optimization problems N Komodakis, JC Pesquet IEEE Signal Processing Magazine 32 (6), 31-54, 2015 | 282 | 2015 |
Fast, approximately optimal solutions for single and dynamic MRFs N Komodakis, G Tziritas, N Paragios 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2007 | 264 | 2007 |
Beyond pairwise energies: Efficient optimization for higher-order MRFs N Komodakis, N Paragios 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2985-2992, 2009 | 250 | 2009 |
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies N Komodakis, G Tziritas, N Paragios Computer Vision and Image Understanding 112 (1), 14-29, 2008 | 242 | 2008 |
Graphvae: Towards generation of small graphs using variational autoencoders M Simonovsky, N Komodakis International Conference on Artificial Neural Networks, 412-422, 2018 | 240 | 2018 |