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



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