Nikos Komodakis
Nikos Komodakis
Associate Professor, Ecole des Ponts ParisTech (France)
Verified email at enpc.fr - Homepage
TitleCited byYear
Wide residual networks
S Zagoruyko, N Komodakis
arXiv preprint arXiv:1605.07146, 2016
16022016
Learning to compare image patches via convolutional neural networks
S Zagoruyko, N Komodakis
Proceedings of the IEEE conference on computer vision and pattern …, 2015
7772015
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
4632008
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
4262010
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
4132015
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
4022007
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
3632007
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
3462010
A comparative study of modern inference techniques for discrete energy minimization problems
J Kappes, B Andres, F Hamprecht, C Schnorr, S Nowozin, D Batra, S Kim, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2013
3072013
Image completion using global optimization
N Komodakis
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
2952006
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
2882007
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
2522007
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
2442016
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
2402009
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
2342008
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
2242017
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
2212015
Markov random field modeling, inference & learning in computer vision & image understanding: A survey
C Wang, N Komodakis, N Paragios
Computer Vision and Image Understanding 117 (11), 1610-1627, 2013
2002013
Deformable medical image registration: setting the state of the art with discrete methods
B Glocker, A Sotiras, N Komodakis, N Paragios
Annual review of biomedical engineering 13, 219-244, 2011
1802011
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
J Dolz, C Desrosiers, IB Ayed
NeuroImage 170, 456-470, 2018
1432018
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