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Nikos Komodakis
Nikos Komodakis
Assistant Professor, Computer Science Department, University of Crete
Подтвержден адрес электронной почты в домене csd.uoc.gr - Главная страница
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Процитировано
Процитировано
Год
Wide residual networks
S Zagoruyko
arXiv preprint arXiv:1605.07146, 2016
94662016
Unsupervised representation learning by predicting image rotations
S Gidaris, P Singh, N Komodakis
arXiv preprint arXiv:1803.07728, 2018
38992018
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
31002016
Learning to compare image patches via convolutional neural networks
S Zagoruyko, N Komodakis
Proceedings of the IEEE conference on computer vision and pattern …, 2015
18902015
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
15282017
Dynamic few-shot visual learning without forgetting
S Gidaris, N Komodakis
Proceedings of the IEEE conference on computer vision and pattern …, 2018
13642018
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
9952015
Graphvae: Towards generation of small graphs using variational autoencoders
M Simonovsky, N Komodakis
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018
9912018
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
5692008
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
4862007
Boosting few-shot visual learning with self-supervision
S Gidaris, A Bursuc, N Komodakis, P Pérez, M Cord
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
4812019
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
4782015
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
4252010
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
4062007
Image completion using global optimization
N Komodakis
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
3862006
Building detection in very high resolution multispectral data with deep learning features
M Vakalopoulou, K Karantzalos, N Komodakis, N Paragios
2015 IEEE international geoscience and remote sensing symposium (IGARSS …, 2015
3622015
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
3302007
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
3262013
Generating classification weights with gnn denoising autoencoders for few-shot learning
S Gidaris, N Komodakis
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3142019
Rotation equivariant vector field networks
D Marcos, M Volpi, N Komodakis, D Tuia
Proceedings of the IEEE International Conference on Computer Vision, 5048-5057, 2017
3032017
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