BOOK CHAPTERS

• "Tightening convex relaxations for MAP inference in discrete MRFs: A survey"
  H. Kannan, N. Komodakis and N. Paragios
  in Handbook of Numerical Analysis and Scientific Computing
  Elsevier, 2019


• "Markov Random Fields in Computer Vision: MAP Inference and Learning"
  N. Komodakis, M. P. Kumar, and N. Paragios
  in Encyclopedia of Applied and Computational Mathematics
  Springer, 2013


• "MAP Inference by Fast Primal-Dual Linear Programming"
  N. Komodakis
  in Advances in Markov Random Fields for Vision and Image Processing
  MIT press, 2010

JOURNALS

• "Deep Tone Mapping Operator for High Dynamic Range Images"
  A. Rana, P. Singh, G. Valenzise, F. Dufaux, N. Komodakis and A. Smolic
  IEEE Transactions on Image Processing, 2019


• "Exploring Weight Symmetry in Deep Neural Networks"
  [Source code]
  X. S. Hu, S. Zagoruyko and N. Komodakis
  Computer Vision and Image understanding Journal, 2019


• "Scattering Networks for Hybrid Representation Learning"
  E. Oyallon, S. Zagoruyko, G. Huang, N. Komodakis, S. Lacoste-Julien, M. Blaschko, and E. Belilovsky
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018


• "Improving Recognition of Complex Aerial Scenes Using a Deep Weakly Supervised Learning Paradigm"
  P. Singh and N. Komodakis
  IEEE Geoscience and Remote Sensing Letters, 2018


• "SCOM: Spatiotemporal Constrained Optimization for Salient Object Detection"
  Y. Chen, W. Zou, Y. Tang, X. Li, C. Hu, N. Komodakis
  IEEE Transactions on Image Processing, 2018


• "Deep Compare: A Study on Using Convolutional Neural Networks to Compare Image Patches"
  S. Zagoruyko and N. Komodakis
  Computer Vision and Image understanding Journal, 2017


• "(Hyper)-Graphical Models in Biomedical Image Analysis"
  N. Paragios, E. Ferrante, B. Glocker, N. Komodakis, S. Parisot, E.I. Zacharaki
  Medical image analysis, 2017


• "Hierarchical Saliency Detection via Probabilistic Object Boundaries"
  H. Lei, H. Xie, W. Zou, X. Sun, K. Kpalma, N. Komodakis
  International Journal of Pattern Recognition and Artificial Intelligence, 2017


• "Graph-based Registration, Change Detection and Classification in High Resolution Multitemporal Remote Sensing Data"
  M. Vakalopoulou, K. Karantzalos, N. Komodakis, N. Paragios
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016


• "A Robust and Efficient Approach to License Plate Detection"
  [pku vehicle dataset]
  Y. Yuan, W. Zou, Y. Zhao, X. Wang, X. Hu, N. Komodakis
  IEEE Transactions on Image Processing, 2016


• "A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems"
  Joerg H. Kappes, Bjoern Andres, Fred A. Hamprecht, Christoph Schnoerr, Sebastian Nowozin, Dhruv Batra, Sungwoong Kim, Thorben Kroeger, Bernhard X. Kausler, Jan Lellmann, Bogdan Savchynskyy, Nikos Komodakis, Carsten Rother
  International Journal of Computer Vision, 2015


• "(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms"
  N. Komodakis, P. Kumar and N. Paragios
  Foundations and Trends in Computer Graphics and Vision, 2016


• "Unsupervised Joint Salient Region Detection and Object Segmentation"
  W. Zou, Z. Liu, K. Kpalma, J. Ronsin, Y. Zhao, and N. Komodakis
  IEEE Transactions on Image Processing, 2015


• "Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems"
  N. Komodakis, J. C. Pesquet
  IEEE Signal Processing Magazine, 2014


• "A Framework for Efficient Structured Max-Margin Learning of High-Order MRF models"
  N. Komodakis, X. Bo and N.Paragios
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014


• "Markov Random Field modeling, inference and learning in computer vision and image understanding: A survey"
  C. Wang, N. Komodakis and N. Paragios
  Computer Vision and Image Understanding, 2013.


• "Interactive Image Segmentation Based on Synthetic Graph Coordinates"
  C. Panagiotakis, H. Papadakis, E. Grinias, N. Komodakis, P. Fragopoulou and G. Tziritas
  Pattern Recognition, 2013.


• "Deformable Medical Image Registration: Setting the State of the Art with Discrete Methods"
  B. Glocker, A. Sotiras, N. Komodakis and N. Paragios
  Annual Reviews in Biomedical Engineering (AR), 2011.


• "MRF Energy Minimization and Beyond via Dual Decomposition"
  N. Komodakis, N.Paragios and G. Tziritas
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011


• "Linear Intensity-based Image Registration by Markov Random Fields and Discrete Optimization"
  D. Zikic, B. Glocker, O. Kutter, M. Groher, N. Komodakis, A. Khamene, N.Paragios and N. Navab
  Medical Image Analysis.


• "Performance vs Computational Efficiency for Optimizing Single and Dynamic MRFs: Setting the State of the Art with Primal Dual Strategies"
  N. Komodakis, G. Tziritas and N. Paragios
  Computer Vision and Image Understanding, 2008.
  


• "Dense Image Registration through MRFs and Efficient Linear Programming"
  B. Glocker, N. Komodakis, G. Tziritas, N. Navab and N.Paragios
  Medical Image Analysis, 2008.


• "Real-time Exploration and Photorealistic Reconstruction of Large Natural Environments"
  N. Komodakis and G. Tziritas
  The Visual Computer, 2008


• "Morphable 3D-Mosaics: a Hybrid Framework for Photorealistic Walkthroughs of Large Natural Environments"
  N. Komodakis and G. Tziritas
  Advances in Multimedia, 2008.


• "Approximate Labeling via Graph-Cuts Based on Linear Programming"
  N. Komodakis and G. Tziritas
  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007.


• "Image Completion Using Efficient Belief Propagation via Priority Scheduling and Dynamic Pruning"
  N. Komodakis and G. Tziritas
  IEEE Transactions on Image Processing, 2007.
  [An independent implementation (by Darren Lafreniere) of the above image completion/inpainting algorithm can be found here]


• "3D Visual Reconstruction of Large Scale Natural Sites and Their Fauna"
  N. Komodakis, C. Panagiotakis and G. Tziritas
  Signal Processing: Image Communication, Vol. 20, pp. 869-890, Oct. 2005.
  (special issue on European projects on Visual Representation Systems and Services)

CONFERENCE PUBLICATIONS

• "QUEST: Quantized embedding space for transferring knowledge"
  Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez and Matthieu Cord
  In ECCV 2020
  


• "Learning Representations by Predicting Bags of Visual Words"
  Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez and Matthieu Cord
  In CVPR 2020
  


• "Boosting Few-Shot Visual Learning with Self-Supervision"
  Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez and Matthieu Cord
  In ICCV 2019
  


• "Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning"
  [Source code and project page]
  S. Gidaris and N. Komodakis
  In CVPR 2019
  


• "Unsupervised Representation Learning by Predicting Image Rotations"
  [Source code and project page]
  S. Gidaris and N. Komodakis
  In ICLR 2018
  


• "Dynamic Few-Shot Visual Learning without Forgetting"
  [Source code and project page]
  S. Gidaris and N. Komodakis
  In CVPR 2018
  


• "GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders"
  M. Simonovsky and N. Komodakis
  In ICANN 2018
  


• "Could-GAN: Cloud Removal for Sentinel-2 Imagery Using a Cyclic Consistent Generative Adversarial Network"
  P. Singh and N. Komodakis
  In IGARSS 2018
  


• "Effective Building Extraction by Learning to Detect and Correct Erroneous Labels in Segmentation Mask"
  P. Singh and N. Komodakis
  In IGARSS 2018
  


• "Towards Variational Generation of Small Graphs"
  M. Simonovsky and N. Komodakis
  In ICLR Workshop 2018
  


• "Rotation equivariant vector field networks"
  D. Marcos, M. Volpi, N. Komodakis and D. Tuia
  In ICCV 2017
  


• "Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling"
  S. Gidaris and N. Komodakis
  In CVPR 2017
  


• "Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs"
  [Source code]
  M. Simonovsky and N. Komodakis
  In CVPR 2017
  


• "Newton-type Methods for Inference in Higher-Order Markov Random Fields"
  H. Kannan, N. Komodakis and N. Paragios
  In CVPR 2017
  


• "Paying More Attention to Attention: Improving the Performace of Convolutional Neural Networks via Attention Transfer"
  [Source code and project page] S. Zagoruyko, N. Komodakis
  In ICLR 2017
  


• "Patchwork Stereo: Scalable, Structure-aware 3D Reconstruction in Man-made Environments"
  A. Bourki, M. Gorce, R. Marlet, N. Komodakis
  In IEEE Winter Conference on Applications of Computer Vision (WACV) 2017.


• "A Deep Metric for Multimodal Registration"
  M. Simonovsky, B. Gutierrez-Becker, Diana Mateus, Nassir Navab and N. Komodakis
  In MICCAI 2016
  


• "Wide Residual Networks"
  [Technical report]
  [Source code]
  S. Zagoryuko and N. Komodakis
  In BMVC 2016
  


• "Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization"
  [Source code]
  S. Gidaris and N. Komodakis
  In BMVC 2016
  


• "OnionNet: Sharing Features in Cascaded Deep Classifiers"
  M. Simonovsky and N. Komodakis
  In BMVC 2016
  


• "LocNet: Improving Localization Accuracy for Object Detection"
  [Extended technical report]
  [Source code]
  S. Gidaris and N. Komodakis
  In CVPR 2016 (oral presentation).


• "Object Detection via a Multi-region and Semantic Segmentation-aware CNN Model"
  [Extended technical report]
  [Source code]
  S. Gidaris and N. Komodakis
  In ICCV 2015.


• "HARF: Hierarchy-associated Rich Features for Salient Object Detection"
  [Link to source code to appear here shortly]
  W. Zou and N. Komodakis
  In ICCV 2015.


• "Learning to Compare Image Patches via Convolutional Neural Networks"
  [Project page with source code (Torch, Matlab, C++) and trained models]
  S. Zagoruyko, N. Komodakis
  In CVPR 2015.


• "Simultaneous registration and change detection in multi-temporal, very high resolution remote sensing data" (honorable mention paper prize)
  M. Vakalopoulou, K. Karantzalos, N. Komodakis and N. Paragios
  In EarthVision CVPR 2015.


• "Building Detection in Very high Resolution Multispectral Data with Deep Learning Features"
  M. Vakalopoulou, K. Karantzalos, N. Komodakis and N. Paragios
  In IGARSS 2015.


• "Speeding-up Graphical Model Optimization via a Coarse-to-fine Cascade of Pruning Classifiers"
  [project web-site & source code]
  B. Conejo, N. Komodakis, S. Leprince and J.P. Avouac
  In NIPS 2014.


• "A MAP-estimation Framework for Blind Deblurring Using High-level Edge Priors"
  Y. Zhou and N. Komodakis
  In ECCV 2014.


• "Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching"
  A. Spyropoulos, N. Komodakis and P. Mordohai
  In CVPR 2014.


• "A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems"
  [web-site with new benchmark database of problems]
  Joerg Kappes, Bjoern Andres, Christoph Schnoerr, Fred Hamprecht, Sebastian Nowozin, Dhruv Batra, Jan Lellmann, Nikos Komodakis, Sungwoong Kim, Bernhard Kausler, Carsten Rother
  In CVPR 2013 (oral presentation).


• "Pose Invariant Deformable Shape Priors Using L1 Higher Order Sparse Graphs"
  B. Xiang, N. Komodakis, N. Paragios
  In 9th International Symposium on Visual Computing - ISVC 2013.


• "Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling"
  Panagiotakis C., Papadakis H., Grinias E., Komodakis N., Fragopoulou P., Tziritas G
  In 15th International Conference on Computer Analysis of Images and Patterns (CAIP 2013).


• "MRF-based Blind Image Deconvolution"
  [supplemental material]
  N. Komodakis and N. Paragios
  In ACCV 2012.


• "Learning to Cluster Using High Order Graphical Models with Latent Variables"
  [supplemental material]
  N. Komodakis
  In ICCV 2011.


• "Efficient Training for Pairwise or Higher Order CRFs via Dual Decomposition"
  [supplemental material]
  N. Komodakis
  In CVPR 2011.


• "Towards More Efficient and Effective LP-based Algorithms for MRF Optimization"
  [supplemental material]
  N. Komodakis
  In ECCV 2010.


• "A Kernel-based Graphical Model for Diffusion Tensor Registration" (best paper award)
  A. Sotiras, R. Neji, J. Deux, N. Komodakis, G. Fleury and N. Paragios
  In ISBI 2010.


• "Markov Random Field Optimization for Intensity-based 2D-3D Registration"
  D. Zikic, B. Glocker, O. Kutter, M. Groher, N. Komodakis, A. Kamen, N. Paragios, N. Navab
  In SPIE Medical Imaging 2010.


• "Beyond Pairwise Energies: Efficient Optimization for Higher-Order MRFs"
  [slides]
  N. Komodakis and N. Paragios
  In CVPR 2009 (oral presentation).


• "Discrete Tracking of Parametrized Curves"
  H. Heibel, B. Glocker, M. Groher, N. Paragios, N. Komodakis and N. Navab
  In CVPR 2009.


• "Shape Priors and Discrete MRFs for Knowledge-based Segmentation"
  A. Besbes, N. Paragios, N. Komodakis, and G. Langs
  In CVPR 2009.


• "Clustering via LP-based stabilities"
  [NIPS spotlight] [NIPS supplemental material] [Technical report]
  N. Komodakis, N. Paragios and G. Tziritas
  In NIPS 21, 2009


• "A Novel Method for Clustering of Skeletal Muscle Fibers from DTI Based on an Angular Hilbertian Metrics Using Linear Programming"
  R. Neji, A. Besbes, N. Komodakis, J-F. Deux, M. Maatou, A. Rahmouni, G. Bassez, G. Fleury and N. Paragios.
  In IPMI 2009 (oral presentation).


• "Dense Registration with Deformation Priors"
  B. Glocker, N. Komodakis, N. Navab, G. Tziritas and N. Paragios.
  In IPMI 2009.


• "Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics"
  A. Sotiras, N. Komodakis, B. Glocker and N. Paragios.
  In MICCAI 2009.


• "Approximated Curvature Penalty in Non-rigid Registration using Pairwise MRFs "
  B. Glocker, N. Komodakis, N. Paragios, and N. Navab
  In ISVC 2009.


• "Atlas-based Deformable Mutual Population Segmentation"
  A. Sotiras, N. Komodakis, G. Langs and N. Paragios
  In ISBI 2009.


• "Graph-based Knowledge-driven Discrete Segmentation of the Left Ventricle"
  A. Besbes, N. Komodakis and N. Paragios
  In ISBI 2009.


• "Linear Image Registration Through MRF Optimization"
  B. Glocker, D. Zikic, N. Komodakis, N. Paragios and N. Navab
  In ISBI 2009.


• "Biomedical Image Analysis Using Markov Random Fields and Efficient Linear Programming"
  N. Komodakis, A. Besbes, B. Glocker and N. Paragios
  In EMBC 2009 (invited paper).


• "Beyond Loose LP-relaxations: Optimizing MRFs by Repairing Cycles"
  [slides]
  N. Komodakis and N. Paragios
  In ECCV 2008 (oral presentation).


• "Optical Flow Estimation with Uncertainties through Dynamic MRFs"
  B. Glocker, N. Paragios, N. Komodakis, G.Tziritas and N. Navab
  In CVPR 2008.


• "Deformable Mosaicing for Whole-body MRI"
  C. Wachinger, B. Glocker, J. Zeltner, N. Paragios, N. Komodakis, M.S. Hansen and N. Navab
  In MICCAI 2008.


• "Knee Reconstruction through Efficient Linear Programming"
  M. Sardarescu, N. Paragios, N. Komodakis, R. Raymond, P. Hernigou and A. Rahmouni
  In ISBI 2008.


• "MRF Optimization via Dual Decomposition: Message-Passing Revisited"
  [Technical report]
  N. Komodakis, N. Paragios and G. Tziritas
  In ICCV 2007.


• "Fast, Approximately Optimal Solutions for Single and Dynamic MRFs"
  [Technical report] [CVPR07 oral presentation slides]
  N. Komodakis, G. Tziritas and N. Paragios
  In CVPR 2007.


• "Inter and Intra-Modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming" (won the Francois Erbsmann Prize)
  B. Glocker, N. Komodakis, N. Paragios, G. Tziritas and N. Navab.
  In IPMI 2007


• "Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation"
  B. Glocker, N. Komodakis, N. Paragios, D. Glasser, G. Tziritas and N. Navab
  In MICCAI 2007.


• "Expression Mimicking : from 2D Monocular Sequences to 3D Animations"
  C. Ghys, M.Taron, N. Paragios, N. Komodakis and B. Bascle
  In 3rd International Symposium in Visual Computing (ISVC'07)


• "Bayesian Region Growing and MRF-based Minimization for Texture and Colour Segmentation"
  I. Grinias, N. Komodakis and G. Tziritas
  In WIAMIS 2007.


• "4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization"
  A. Besbes, N. Komodakis, B. Glocker, G. Tziritas and N. Paragios
  In 3rd International Symposium in Visual Computing (ISVC'07), 2007


• "Image Completion Using Global Optimization"
  [poster]
  N. Komodakis and G. Tziritas
  In CVPR 2006.
  [An independent implementation (by Darren Lafreniere) of the above image completion/inpainting algorithm can be found here]


• "Morphable 3D-Mosaics: a Framework for the Visual Reconstruction of Large Natural Scenes" [video]
  N. Komodakis, G. Tziritas
  In video proceedings of CVPR 2006.


• "A New Framework for Approximate Labeling via Graph Cuts"
  [poster]
  N. Komodakis, G. Tziritas
  In ICCV 2005.


• "Interactive walkthroughs using morphable 3D-mosaics"
  N. Komodakis, G. Tziritas
  In 3DPVT 2004.


• "Robust 3D-Motion estimation and depth layering"
  N. Komodakis, G. Tziritas
  In 13th International Conference on Digital Signal Processing.

TECHNICAL REPORTS

• "MRF-based Diffeomorphic Population Deformable Registration and Segmentation"
  A. Sotiras, N. Komodakis and N. Paragios
  Technical Report, INRIA, 2009


• "Cue Integration and Discrete MRFs towards Knowledge-based Segmentation and Tracking"
  A. Besbes, N. Paragios and N. Komodakis
  Technical Report, INRIA, 2009


• "Clustering via LP-based Stabilities"
  N. Komodakis, N. Paragios and G. Tziritas
  Technical Report, University of Crete, 2009


• "Beyond Loose LP-relaxations for MRF Optimization"
  N. Komodakis and N. Paragios
  Technical Report, Ecole Centrale de Paris, 2008


• "Optimization of Discrete Markov Random Fields via Dual Decomposition"
  N. Komodakis, N. Paragios and G. Tziritas
  Research Report 0705, MAS Laboratory, April 2007.


• "Fast Primal-Dual Strategies for MRF Optimization"
  N. Komodakis, G. Tziritas and N. Paragios
  Research Report 0605, MAS Laboratory, December 2006.


• "Approximate Labeling via the Primal-Dual Schema"
  N. Komodakis and G. Tziritas
  Technical Report, University of Crete, February 2005.

Ph.D. Thesis

• "Optimization Algorithms for Discrete Markov Random Fields, with Applications to Computer Vision"
  Nikos Komodakis
  University of Crete, Computer Science Department, 2006 (highest honors)