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ORCIDNikos Komodakis
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- affiliation: University of Crete, Computer Science Department, Greece
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2020 – today
- 2024
[j32]Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. Trans. Mach. Learn. Res. 2024 (2024)- [c75]Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Mitiku Belachew, Nikos Komodakis, Nikos Paragios:
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images. CVPR 2024: 11428-11438 - [c74]Ioannis Kakogeorgiou, Spyros Gidaris, Konstantinos Karantzalos, Nikos Komodakis:
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers. CVPR 2024: 22776-22786 - [c73]Vasileios Perifanis
, Efstathios Karypidis, Nikos Komodakis, Pavlos S. Efraimidis:
SFTC: Machine Unlearning via Selective Fine-tuning and Targeted Confusion. EICC 2024: 29-36 - [i31]Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Mitiku Belachew, Nikos Komodakis, Nikos Paragios:
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images. CoRR abs/2404.13103 (2024) - 2023
- [c72]Sonia Martinot, Nikos Komodakis, Maria Vakalopoulou, Norbert Bus, Charlotte Robert, Eric Deutsch, Nikos Paragios:
Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation. IPMI 2023: 485-496 - [i30]Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. CoRR abs/2307.09361 (2023) - [i29]Ioannis Kakogeorgiou, Spyros Gidaris, Konstantinos Karantzalos, Nikos Komodakis:
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers. CoRR abs/2312.00648 (2023) - 2022
- [j31]Lorenzo Lastilla, Serena Ammirati, Donatella Firmani, Nikos Komodakis, Paolo Merialdo, Simone Scardapane:
Self-supervised learning for medieval handwriting identification: A case study from the Vatican Apostolic Library. Inf. Process. Manag. 59(3): 102875 (2022) - [c71]Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis:
What to Hide from Your Students: Attention-Guided Masked Image Modeling. ECCV (30) 2022: 300-318 - [i28]Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis:
What to Hide from Your Students: Attention-Guided Masked Image Modeling. CoRR abs/2203.12719 (2022) - 2021
- [j30]Valerio Marsocci, Simone Scardapane, Nikos Komodakis:
MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing. Remote. Sens. 13(16): 3275 (2021) - [c70]Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. CVPR 2021: 6830-6840 - 2020
- [j29]Aakanksha Rana, Praveer Singh, Giuseppe Valenzise, Frédéric Dufaux, Nikos Komodakis, Aljosa Smolic:
Deep Tone Mapping Operator for High Dynamic Range Images. IEEE Trans. Image Process. 29: 1285-1298 (2020) - [c69]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Learning Representations by Predicting Bags of Visual Words. CVPR 2020: 6926-6936 - [c68]Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
QuEST: Quantized Embedding Space for Transferring Knowledge. ECCV (21) 2020: 173-189 - [i27]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Learning Representations by Predicting Bags of Visual Words. CoRR abs/2002.12247 (2020) - [i26]Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez:
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. CoRR abs/2012.11552 (2020)
2010 – 2019
- 2019
- [j28]Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis:
Exploring weight symmetry in deep neural networks. Comput. Vis. Image Underst. 187 (2019) - [j27]Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky:
Scattering Networks for Hybrid Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2208-2221 (2019) - [c67]Spyros Gidaris, Nikos Komodakis:
Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning. CVPR 2019: 21-30 - [c66]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Boosting Few-Shot Visual Learning With Self-Supervision. ICCV 2019: 8058-8067 - [i25]Spyros Gidaris, Nikos Komodakis:
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning. CoRR abs/1905.01102 (2019) - [i24]Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
Boosting Few-Shot Visual Learning with Self-Supervision. CoRR abs/1906.05186 (2019) - [i23]Aakanksha Rana, Praveer Singh, Giuseppe Valenzise, Frédéric Dufaux, Nikos Komodakis, Aljosa Smolic:
Deep Tone Mapping Operator for High Dynamic Range Images. CoRR abs/1908.04197 (2019) - [i22]Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord:
QUEST: Quantized embedding space for transferring knowledge. CoRR abs/1912.01540 (2019) - 2018
- [j26]Konstantinos Loupos, Anastasios D. Doulamis, Christos Stentoumis, Eftychios Protopapadakis, Konstantinos Makantasis, Nikolaos D. Doulamis, Angelos Amditis, Philippe Chrobocinski, Juan G. Victores, Roberto Montero, Elisabeth Menendez, Carlos Balaguer, Rafa López, Miquel Cantero, Roman Navarro, Alberto Roncaglia, Luca Belsito, Stephanos Camarinopoulos, Nikos Komodakis, Praveer Singh:
Autonomous robotic system for tunnel structural inspection and assessment. Int. J. Intell. Robotics Appl. 2(1): 43-66 (2018) - [j25]Praveer Singh, Nikos Komodakis:
Improving Recognition of Complex Aerial Scenes Using a Deep Weakly Supervised Learning Paradigm. IEEE Geosci. Remote. Sens. Lett. 15(12): 1932-1936 (2018) - [j24]Yuhuan Chen, Wenbin Zou, Yi Tang, Xia Li, Chen Xu, Nikos Komodakis:
SCOM: Spatiotemporal Constrained Optimization for Salient Object Detection. IEEE Trans. Image Process. 27(7): 3345-3357 (2018) - [c65]Spyros Gidaris, Nikos Komodakis:
Dynamic Few-Shot Visual Learning Without Forgetting. CVPR 2018: 4367-4375 - [c64]Martin Simonovsky, Nikos Komodakis:
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders. ICANN (1) 2018: 412-422 - [c63]Spyros Gidaris, Praveer Singh, Nikos Komodakis:
Unsupervised Representation Learning by Predicting Image Rotations. ICLR (Poster) 2018 - [c62]Martin Simonovsky, Nikos Komodakis:
Towards Variational Generation of Small Graphs. ICLR (Workshop) 2018 - [c61]Praveer Singh, Nikos Komodakis:
Effective Building Extraction by Learning to Detect and Correct Erroneous Labels in Segmentation Mask. IGARSS 2018: 1288-1291 - [c60]Praveer Singh, Nikos Komodakis:
Cloud-Gan: Cloud Removal for Sentinel-2 Imagery Using a Cyclic Consistent Generative Adversarial Networks. IGARSS 2018: 1772-1775 - [i21]Martin Simonovsky, Nikos Komodakis:
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders. CoRR abs/1802.03480 (2018) - [i20]Spyros Gidaris, Praveer Singh, Nikos Komodakis:
Unsupervised Representation Learning by Predicting Image Rotations. CoRR abs/1803.07728 (2018) - [i19]Spyros Gidaris, Nikos Komodakis:
Dynamic Few-Shot Visual Learning without Forgetting. CoRR abs/1804.09458 (2018) - [i18]Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky:
Scattering Networks for Hybrid Representation Learning. CoRR abs/1809.06367 (2018) - [i17]Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis:
Exploring Weight Symmetry in Deep Neural Network. CoRR abs/1812.11027 (2018) - 2017
- [j23]Sergey Zagoruyko, Nikos Komodakis:
Deep compare: A study on using convolutional neural networks to compare image patches. Comput. Vis. Image Underst. 164: 38-55 (2017) - [j22]Haijun Lei, Hai Xie, Wenbin Zou, Xiaoli Sun, Kidiyo Kpalma, Nikos Komodakis:
Hierarchical Saliency Detection via Probabilistic Object Boundaries. Int. J. Pattern Recognit. Artif. Intell. 31(6): 1755010:1-1755010:23 (2017) - [j21]Yule Yuan, Wenbin Zou, Yong Zhao, Xin'an Wang, Xuefeng Hu, Nikos Komodakis:
A Robust and Efficient Approach to License Plate Detection. IEEE Trans. Image Process. 26(3): 1102-1114 (2017) - [c59]Martin Simonovsky, Nikos Komodakis:
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs. CVPR 2017: 29-38 - [c58]Spyros Gidaris, Nikos Komodakis:
Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling. CVPR 2017: 7187-7196 - [c57]Hariprasad Kannan, Nikos Komodakis, Nikos Paragios:
Newton-Type Methods for Inference in Higher-Order Markov Random Fields. CVPR 2017: 7224-7233 - [c56]Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia:
Rotation Equivariant Vector Field Networks. ICCV 2017: 5058-5067 - [c55]Sergey Zagoruyko, Nikos Komodakis:
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. ICLR (Poster) 2017 - [c54]Amine Bourki, Martin de La Gorce, Renaud Marlet, Nikos Komodakis:
Patchwork Stereo: Scalable, Structure-Aware 3D Reconstruction in Man-Made Environments. WACV 2017: 292-301 - [i16]Martin Simonovsky, Nikos Komodakis:
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs. CoRR abs/1704.02901 (2017) - [i15]Sergey Zagoruyko, Nikos Komodakis:
DiracNets: Training Very Deep Neural Networks Without Skip-Connections. CoRR abs/1706.00388 (2017) - [i14]Hariprasad Kannan, Nikos Komodakis, Nikos Paragios:
Newton-type Methods for Inference in Higher-Order Markov Random Fields. CoRR abs/1709.01237 (2017) - 2016
- [j20]Chaohui Wang, Nikos Komodakis, Hiroshi Ishikawa, Olga Veksler, Endre Boros:
Inference and Learning of Graphical Models: Theory and Applications in Computer Vision and Image Analysis. Comput. Vis. Image Underst. 143: 52-53 (2016) - [j19]Nikos Komodakis, M. Pawan Kumar, Nikos Paragios:
(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision. Found. Trends Comput. Graph. Vis. 10(1): 1-102 (2016) - [j18]Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki:
(Hyper)-graphical models in biomedical image analysis. Medical Image Anal. 33: 102-106 (2016) - [j17]Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios:
Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(7): 2940-2951 (2016) - [c53]Spyridon Gidaris, Nikos Komodakis:
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization. BMVC 2016 - [c52]Martin Simonovsky, Nikos Komodakis:
OnionNet: Sharing Features in Cascaded Deep Classifiers. BMVC 2016 - [c51]Sergey Zagoruyko, Nikos Komodakis:
Wide Residual Networks. BMVC 2016 - [c50]Spyros Gidaris, Nikos Komodakis:
LocNet: Improving Localization Accuracy for Object Detection. CVPR 2016: 789-798 - [c49]Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis:
A Deep Metric for Multimodal Registration. MICCAI (3) 2016: 10-18 - [i13]Sergey Zagoruyko, Nikos Komodakis:
Wide Residual Networks. CoRR abs/1605.07146 (2016) - [i12]Spyros Gidaris, Nikos Komodakis:
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization. CoRR abs/1606.04446 (2016) - [i11]Martin Simonovsky, Nikos Komodakis:
OnionNet: Sharing Features in Cascaded Deep Classifiers. CoRR abs/1608.02728 (2016) - [i10]Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis:
A Deep Metric for Multimodal Registration. CoRR abs/1609.05396 (2016) - [i9]Sergey Zagoruyko, Nikos Komodakis:
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. CoRR abs/1612.03928 (2016) - [i8]Spyros Gidaris, Nikos Komodakis:
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling. CoRR abs/1612.04770 (2016) - [i7]Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia:
Rotation equivariant vector field networks. CoRR abs/1612.09346 (2016) - 2015
- [j16]Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother:
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. 115(2): 155-184 (2015) - [j15]Nikos Komodakis, Bo Xiang, Nikos Paragios:
A Framework for Efficient Structured Max-Margin Learning of High-Order MRF Models. IEEE Trans. Pattern Anal. Mach. Intell. 37(7): 1425-1441 (2015) - [j14]Nikos Komodakis, Jean-Christophe Pesquet:
Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems. IEEE Signal Process. Mag. 32(6): 31-54 (2015) - [j13]Wenbin Zou, Zhi Liu, Kidiyo Kpalma, Joseph Ronsin, Yong Zhao, Nikos Komodakis:
Unsupervised Joint Salient Region Detection and Object Segmentation. IEEE Trans. Image Process. 24(11): 3858-3873 (2015) - [c48]Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios:
Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data. CVPR Workshops 2015: 61-69 - [c47]Sergey Zagoruyko, Nikos Komodakis:
Learning to compare image patches via convolutional neural networks. CVPR 2015: 4353-4361 - [c46]Wenbin Zou, Nikos Komodakis:
HARF: Hierarchy-Associated Rich Features for Salient Object Detection. ICCV 2015: 406-414 - [c45]Spyros Gidaris, Nikos Komodakis:
Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model. ICCV 2015: 1134-1142 - [c44]Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios:
Building detection in very high resolution multispectral data with deep learning features. IGARSS 2015: 1873-1876 - [i6]Sergey Zagoruyko, Nikos Komodakis:
Learning to Compare Image Patches via Convolutional Neural Networks. CoRR abs/1504.03641 (2015) - [i5]Spyros Gidaris, Nikos Komodakis:
Object detection via a multi-region & semantic segmentation-aware CNN model. CoRR abs/1505.01749 (2015) - [i4]Spyros Gidaris, Nikos Komodakis:
LocNet: Improving Localization Accuracy for Object Detection. CoRR abs/1511.07763 (2015) - 2014
- [c43]Aristotle Spyropoulos, Nikos Komodakis, Philippos Mordohai:
Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching. CVPR 2014: 1621-1628 - [c42]Yipin Zhou, Nikos Komodakis:
A MAP-Estimation Framework for Blind Deblurring Using High-Level Edge Priors. ECCV (2) 2014: 142-157 - [c41]Nikos Paragios, Nikos Komodakis:
Discrete Visual Perception. ICPR 2014: 18-25 - [c40]Bruno Conejo, Nikos Komodakis, Sébastien Leprince, Jean-Philippe Avouac:
Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers. NIPS 2014: 2105-2113 - [c39]Konstantinos Loupos, Angelos Amditis, Christos Stentoumis, Philippe Chrobocinski, Juan G. Victores, Max Wietek, Panagiotis Panetsos, Alberto Roncaglia, Stephanos Camarinopoulos, Vassilis Kalidromitis, Dimitris Bairaktaris, Nikos Komodakis, Rafa López:
Robotic intelligent vision and control for tunnel inspection and evaluation - The ROBINSPECT EC project. ROSE 2014: 72-77 - [i3]Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Thorben Kröger, Jan Lellmann, Nikos Komodakis, Bogdan Savchynskyy, Carsten Rother:
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR abs/1404.0533 (2014) - [i2]Nikos Komodakis, Jean-Christophe Pesquet:
Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems. CoRR abs/1406.5429 (2014) - [i1]Bruno Conejo, Nikos Komodakis, Sébastien Leprince, Jean-Philippe Avouac:
Speeding-up Graphical Model Optimization via a Coarse-to-fine Cascade of Pruning Classifiers. CoRR abs/1409.4205 (2014) - 2013
- [b2]Nikos Komodakis:
Graphical Model Inference and Learning for Visual Computing. University of Paris-Est, France, 2013 - [j12]Chaohui Wang, Nikos Komodakis, Nikos Paragios:
Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey. Comput. Vis. Image Underst. 117(11): 1610-1627 (2013) - [j11]Costas Panagiotakis, Harris Papadakis, Ilias Grinias, Nikos Komodakis, Paraskevi Fragopoulou, Georgios Tziritas:
Interactive image segmentation based on synthetic graph coordinates. Pattern Recognit. 46(11): 2940-2952 (2013) - [c38]Costas Panagiotakis, Harris Papadakis, Elias Grinias, Nikos Komodakis, Paraskevi Fragopoulou, Georgios Tziritas:
Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling. CAIP (1) 2013: 589-596 - [c37]Jörg H. Kappes, Björn Andres, Fred A. Hamprecht, Christoph Schnörr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Bernhard X. Kausler, Jan Lellmann, Nikos Komodakis, Carsten Rother:
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR 2013: 1328-1335 - [c36]Bo Xiang, Nikos Komodakis, Nikos Paragios:
Pose Invariant Deformable Shape Priors Using L 1 Higher Order Sparse Graphs. ISVC (1) 2013: 194-205 - 2012
- [c35]Nikos Komodakis, Nikos Paragios:
MRF-Based Blind Image Deconvolution. ACCV (3) 2012: 361-374 - 2011
- [j10]Nikos Komodakis, Georg Langs, Horst Bischof, Nikos Paragios:
Special issue on Optimization for vision, graphics and medical imaging: Theory and applications. Comput. Vis. Image Underst. 115(12): 1597 (2011) - [j9]Nikos Komodakis, Nikos Paragios, Georgios Tziritas:
MRF Energy Minimization and Beyond via Dual Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 33(3): 531-552 (2011) - [c34]Nikos Komodakis:
Efficient training for pairwise or higher order CRFs via dual decomposition. CVPR 2011: 1841-1848 - [c33]Nikos Komodakis:
Learning to cluster using high order graphical models with latent variables. ICCV 2011: 73-80 - 2010
- [j8]Darko Zikic, Ben Glocker, Oliver Kutter, Martin Groher, Nikos Komodakis, Ali Kamen, Nikos Paragios, Nassir Navab:
Linear intensity-based image registration by Markov random fields and discrete optimization. Medical Image Anal. 14(4): 550-562 (2010) - [c32]Nikos Komodakis:
Towards More Efficient and Effective LP-Based Algorithms for MRF Optimization. ECCV (2) 2010: 520-534 - [c31]Ilias Grinias, Nikos Komodakis, Georgios Tziritas:
Flooding and MRF-based Algorithms for Interactive Segmentation. ICPR 2010: 3943-3946 - [c30]Aristeidis Sotiras, Radhouène Neji, Jean-François Deux, Nikos Komodakis, Gilles Fleury, Nikos Paragios:
A kernel-based graphical model for diffusion tensor registration. ISBI 2010: 524-527 - [c29]Darko Zikic, Ben Glocker, Oliver Kutter, Martin Groher, Nikos Komodakis, Ali Khamene, Nikos Paragios, Nassir Navab:
Markov random field optimization for intensity-based 2D-3D registration. Medical Imaging: Image Processing 2010: 762334
2000 – 2009
- 2009
- [j7]Nikos Komodakis, Georgios Tziritas:
Real-time exploration and photorealistic reconstruction of large natural environments. Vis. Comput. 25(2): 117-137 (2009) - [c28]Ben Glocker, Christian Wachinger, Jochen Zeltner, Nikos Paragios, Nikos Komodakis, Michael Sass Hansen, Nassir Navab:
MRI Composing for Whole Body Imaging. Bildverarbeitung für die Medizin 2009: 420-424 - [c27]Ahmed Besbes, Nikos Komodakis, Georg Langs, Nikos Paragios:
Shape priors and discrete MRFs for knowledge-based segmentation. CVPR 2009: 1295-1302 - [c26]Tim Hauke Heibel, Ben Glocker, Martin Groher, Nikos Paragios, Nikos Komodakis, Nassir Navab:
Discrete tracking of parametrized curves. CVPR 2009: 1754-1761 - [c25]Nikos Komodakis, Nikos Paragios:
Beyond pairwise energies: Efficient optimization for higher-order MRFs. CVPR 2009: 2985-2992 - [c24]Radhouène Neji, Ahmed Besbes, Nikos Komodakis, Jean-François Deux, Mezri Maatouk, Alain Rahmouni, Guillaume Bassez, Gilles Fleury, Nikos Paragios:
Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics. IPMI 2009: 14-25 - [c23]Ben Glocker, Nikos Komodakis, Nassir Navab, Georgios Tziritas, Nikos Paragios:
Dense Registration with Deformation Priors. IPMI 2009: 540-551 - [c22]Aristeidis Sotiras, Nikos Komodakis, Georg Langs, Nikos Paragios:
Atlas-Based Deformable Mutual Population Segmentation. ISBI 2009: 5-8 - [c21]Ahmed Besbes, Nikos Komodakis, Nikos Paragios:
Graph-Based Knowledge-Driven Discrete Segmentation of the Left Ventricle. ISBI 2009: 49-52 - [c20]Ben Glocker, Darko Zikic, Nikos Komodakis, Nikos Paragios, Nassir Navab:
Linear Image Registration Through MRF Optimization. ISBI 2009: 422-425 - [c19]Ben Glocker, Nikos Komodakis, Nikos Paragios, Nassir Navab:
Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs. ISVC (1) 2009: 1101-1109 - [c18]Aristeidis Sotiras, Nikos Komodakis, Ben Glocker, Jean-François Deux, Nikos Paragios:
Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics. MICCAI (1) 2009: 672-679 - 2008
- [j6]Nikos Komodakis, Georgios Tziritas:
Morphable 3D-Mosaics: A Hybrid Framework for Photorealistic Walkthroughs of Large Natural Environments. Adv. Multim. 2008: 697454:1-697454:17 (2008) - [j5]Nikos Komodakis, Georgios Tziritas, Nikos Paragios:
Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies. Comput. Vis. Image Underst. 112(1): 14-29 (2008) - [j4]Ben Glocker, Nikos Komodakis, Georgios Tziritas, Nassir Navab, Nikos Paragios:
Dense image registration through MRFs and efficient linear programming. Medical Image Anal. 12(6): 731-741 (2008) - [c17]Nikos Komodakis, George Bebis:
Commentary Paper on "Textural Segmentation of Sidescan Sonar Images Based on Gabor Filters Bank and Active Contours without Edges". AVSS 2008: 9 - [c16]Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab:
Effiziente nichtlineare Registrierung mittels diskreter Optimierung. Bildverarbeitung für die Medizin 2008: 87-91 - [c15]Ben Glocker, Nikos Paragios, Nikos Komodakis, Georgios Tziritas, Nassir Navab:
Optical flow estimation with uncertainties through dynamic MRFs. CVPR 2008 - [c14]Nikos Komodakis, Nikos Paragios:
Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles. ECCV (3) 2008: 806-820 - [c13]Mihai Sardarescu, Nikos Paragios, Nikos Komodakis, Rémy Raymond, Phillipe Hernigou, Alain Rahmouni:
Knee reconstruction through efficient linear programming. ISBI 2008: 664-667 - [c12]Christian Wachinger, Ben Glocker, Jochen Zeltner, Nikos Paragios, Nikos Komodakis, Michael Sass Hansen, Nassir Navab:
Deformable Mosaicing for Whole-Body MRI. MICCAI (2) 2008: 113-121 - [c11]Nikos Komodakis, Nikos Paragios, Georgios Tziritas:
Clustering via LP-based Stabilities. NIPS 2008: 865-872 - 2007
- [j3]Nikos Komodakis, Georgios Tziritas:
Approximate Labeling via Graph Cuts Based on Linear Programming. IEEE Trans. Pattern Anal. Mach. Intell. 29(8): 1436-1453 (2007) - [j2]Nikos Komodakis, Georgios Tziritas:
Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning. IEEE Trans. Image Process. 16(11): 2649-2661 (2007) - [c10]Nikos Komodakis, Georgios Tziritas, Nikos Paragios:
Fast, Approximately Optimal Solutions for Single and Dynamic MRFs. CVPR 2007 - [c9]Nikos Komodakis, Nikos Paragios, Georgios Tziritas:
MRF Optimization via Dual Decomposition: Message-Passing Revisited. ICCV 2007: 1-8 - [c8]Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab:
Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming. IPMI 2007: 408-420 - [c7]Ahmed Besbes, Nikos Komodakis, Ben Glocker, Georgios Tziritas, Nikos Paragios:
4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization. ISVC (1) 2007: 189-198 - [c6]Charlotte Ghys, Maxime Taron, Nikos Paragios, Nikos Komodakis, Benedicte Bascle:
Expression Mimicking : From 2D Monocular Sequences to 3D Animations. ISVC (2) 2007: 621-630 - [c5]Ben Glocker, Nikos Komodakis, Nikos Paragios, Christian Glaser, Georgios Tziritas, Nassir Navab:
Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation. MICCAI (2) 2007: 536-543 - [c4]Ilias Grinias, Nikos Komodakis, Georgios Tziritas:
Bayesian Region Growing and MRF-based Minimization for Texture and Colour Segmentation. WIAMIS 2007: 20 - 2006
- [b1]Nikos Komodakis:
Optimization algorithms for discrete markov random fields with applications to computer vision. University of Crete, Greece, 2006 - [c3]Nikos Komodakis:
Image Completion Using Global Optimization. CVPR (1) 2006: 442-452 - 2005
- [j1]Nikos Komodakis, Costas Panagiotakis, George Tziritas:
3D visual reconstruction of large scale natural sites and their fauna. Signal Process. Image Commun. 20(9-10): 869-890 (2005) - [c2]Nikos Komodakis, Georgios Tziritas:
A New Framework for Approximate Labeling via Graph Cuts. ICCV 2005: 1018-1025 - 2004
- [c1]Nikos Komodakis, George Pagonis, George Tziritas:
Interactive Walkthroughs using "Morphable 3D-Mosaics". 3DPVT 2004: 404-411
Coauthor Index
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