Nikos Komodakis

发表

Fast, Approximately Optimal Solutions for Single and Dynamic MRFs

Nikos Komodakis, Georgios Tziritas, Nikos Paragios, 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

Commentary Paper on "Textural Segmentation of Sidescan Sonar Images Based on Gabor Filters Bank and Active Contours without Edges"

Nikos Komodakis, George Bebis, N. Komodakis, 2008, 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance.

4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization

Ben Glocker, Nikos Komodakis, Georgios Tziritas, 2007, ISVC.

Deformable Mosaicing for Whole-Body MRI

Nassir Navab, Ben Glocker, Nikos Komodakis, 2008, MICCAI.

Wide Residual Networks pdf

Nikos Komodakis, Sergey Zagoruyko, N. Komodakis, 2016, BMVC.

Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching

Nikos Komodakis, Philippos Mordohai, Aristotle Spyropoulos, 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

Dense image registration through MRFs and efficient linear programming

Nassir Navab, Ben Glocker, Nikos Komodakis, 2008, Medical Image Anal..

Dense Registration with Deformation Priors

Nassir Navab, Ben Glocker, Nikos Komodakis, 2009, IPMI.

A new framework for approximate labeling via graph cuts

Nikos Komodakis, Georgios Tziritas, N. Komodakis, 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers

Nikos Komodakis, B. Conejo, Sebastien Leprince, 2014, NIPS.

Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization pdf

Nikos Komodakis, Spyros Gidaris, N. Komodakis, 2016, BMVC.

Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model

Nikos Komodakis, Spyros Gidaris, Spyros Gidaris, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey

Nikos Komodakis, Nikos Paragios, Chaohui Wang, 2013, Comput. Vis. Image Underst..

GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders

Nikos Komodakis, Martin Simonovsky, N. Komodakis, 2018, ICANN.

Deep Tone Mapping Operator for High Dynamic Range Images

Nikos Komodakis, Giuseppe Valenzise, Aakanksha Rana, 2019, IEEE Transactions on Image Processing.

MRF Optimization via Dual Decomposition: Message-Passing Revisited

Nikos Komodakis, Georgios Tziritas, Nikos Paragios, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Towards Variational Generation of Small Graphs

Nikos Komodakis, Martin Simonovsky, N. Komodakis, 2018, ICLR.

Learning Representations by Predicting Bags of Visual Words

Matthieu Cord, Nikos Komodakis, Spyros Gidaris, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

LocNet: Improving Localization Accuracy for Object Detection

Nikos Komodakis, Spyros Gidaris, Spyros Gidaris, 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Effective Building Extraction by Learning to Detect and Correct Erroneous Labels in Segmentation Mask

Nikos Komodakis, Praveer Singh, N. Komodakis, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer pdf

Nikos Komodakis, Sergey Zagoruyko, N. Komodakis, 2016, ICLR.

MRI Composing for Whole Body Imaging

Nassir Navab, Ben Glocker, Nikos Komodakis, 2009, Bildverarbeitung für die Medizin.

OnionNet: Sharing Features in Cascaded Deep Classifiers pdf

Nikos Komodakis, Martin Simonovsky, N. Komodakis, 2016, BMVC.

Inference and Learning of Graphical Models: Theory and Applications in Computer Vision and Image Analysis

Nikos Komodakis, Endre Boros, Olga Veksler, 2016, Comput. Vis. Image Underst..

Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics

Nikos Komodakis, Nikos Paragios, Gilles Fleury, 2009, IPMI.

Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data

Nikos Komodakis, Nikos Paragios, Konstantinos Karantzalos, 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation

Nassir Navab, Ben Glocker, Nikos Komodakis, 2007, MICCAI.

Knee reconstruction through efficient linear programming

Nikos Komodakis, Nikos Paragios, Alain Rahmouni, 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Bayesian Region Growing and MRF-based Minimization for Texture and Colour Segmentation

Nikos Komodakis, Georgios Tziritas, Ilias Grinias, 2007, Eighth International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '07).

3D visual reconstruction of large scale natural sites and their fauna

Nikos Komodakis, Georgios Tziritas, Costas Panagiotakis, 2005, Signal Process. Image Commun..

Exploring Weight Symmetry in Deep Neural Network

Nikos Komodakis, Sergey Zagoruyko, Shell Xu Hu, 2018, Comput. Vis. Image Underst..

DiracNets: Training Very Deep Neural Networks Without Skip-Connections pdf

Nikos Komodakis, Sergey Zagoruyko, N. Komodakis, 2017, ArXiv.

Dissemination - Scientific Community animation

Iasonas Kokkinos, Nikos Komodakis, Nikos Paragios, 2009 .

Improving Recognition of Complex Aerial Scenes Using a Deep Weakly Supervised Learning Paradigm

Nikos Komodakis, Praveer Singh, 2018, IEEE Geoscience and Remote Sensing Letters.

Flooding and MRF-based Algorithms for Interactive Segmentation

Nikos Komodakis, Georgios Tziritas, Ilias Grinias, 2010, 2010 20th International Conference on Pattern Recognition.

SCOM: Spatiotemporal Constrained Optimization for Salient Object Detection

Xia Li, Nikos Komodakis, Wenbin Zou, 2018, IEEE Transactions on Image Processing.

Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data

Nikos Komodakis, Nikos Paragios, Konstantinos Karantzalos, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Interactive walkthroughs using "morphable 3D-mosaics"

Nikos Komodakis, Georgios Tziritas, George Pagonis, 2004, Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004..

Pose Invariant Deformable Shape Priors Using L 1 Higher Order Sparse Graphs

Nikos Komodakis, Nikos Paragios, Bo Xiang, 2013, ISVC.

Dynamic Few-Shot Visual Learning Without Forgetting

Nikos Komodakis, Spyros Gidaris, Spyros Gidaris, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning pdf

Matthieu Cord, Nikos Komodakis, Andrei Bursuc, 2020, ArXiv.

Unsupervised Representation Learning by Predicting Image Rotations pdf

Nikos Komodakis, Spyros Gidaris, Praveer Singh, 2018, ICLR.

A Deep Metric for Multimodal Registration

Nikos Komodakis, Nassir Navab, Diana Mateus, 2016, MICCAI.

New Results - Model-free and Model-based Segmentation, Tracking

Iasonas Kokkinos, Nikos Komodakis, Nikos Paragios, 2008 .

Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems

Nikos Komodakis, Jean-Christophe Pesquet, J. Pesquet, 2014, IEEE Signal Process. Mag..

Atlas-based deformable mutual population segmentation

Nikos Komodakis, Nikos Paragios, Georg Langs, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Dynamic Few-Shot Visual Learning without Forgetting Spyros Gidaris

Nikos Komodakis, Spyros Gidaris, 2018 .

Linear intensity-based image registration by Markov random fields and discrete optimization

Nassir Navab, Ben Glocker, Nikos Komodakis, 2010, Medical Image Anal..

Real-time exploration and photorealistic reconstruction of large natural environments

Nikos Komodakis, Georgios Tziritas, N. Komodakis, 2009, The Visual Computer.

(Hyper)-Graphs Inference via Convex Relaxations and Move Making Algorithms: Contributions and Applications in artificial vision

Nikos Komodakis, Nikos Paragios, M. Pawan Kumar, 2017 .

Clustering via LP-based Stabilities

Nikos Komodakis, Georgios Tziritas, Nikos Paragios, 2008, NIPS.

Efficient training for pairwise or higher order CRFs via dual decomposition

Nikos Komodakis, N. Komodakis, 2011, CVPR 2011.

A Kernel-based graphical model for diffusion tensor registration

Nikos Komodakis, Nikos Paragios, Aristeidis Sotiras, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Boosting Few-Shot Visual Learning With Self-Supervision

Patrick Pérez, Matthieu Cord, Nikos Komodakis, 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).

Interactive walkthroughs using "morphable 3D-mosaics"

Nikos Komodakis, Georgios Tziritas, G. Pagonis, 2004 .

Patchwork Stereo: Scalable, Structure-Aware 3D Reconstruction in Man-Made Environments

Nikos Komodakis, Renaud Marlet, Martin de La Gorce, 2017, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV).

Exploring Weight Symmetry in Deep Neural Network pdf

Nikos Komodakis, Sergey Zagoruyko, Shell Xu Hu, 2018, ArXiv.

Morphable 3D-Mosaics: A Hybrid Framework for Photorealistic Walkthroughs of Large Natural Environments

Nikos Komodakis, Georgios Tziritas, 2008, Adv. Multim..

Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling

Nikos Komodakis, Georgios Tziritas, Paraskevi Fragopoulou, 2013, CAIP.

Effiziente nichtlineare Registrierung mittels diskreter Optimierung

Nassir Navab, Ben Glocker, Nikos Komodakis, 2008, Bildverarbeitung für die Medizin.

Graphical Model Inference and Learning for Visual Computing

Nikos Komodakis, N. Komodakis, 2013 .

Approximate Labeling via Graph Cuts Based on Linear Programming

Nikos Komodakis, Georgios Tziritas, N. Komodakis, 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

A MAP-Estimation Framework for Blind Deblurring Using High-Level Edge Priors

Nikos Komodakis, Yipin Zhou, N. Komodakis, 2014, ECCV.

Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies

Nikos Komodakis, Georgios Tziritas, Nikos Paragios, 2008, Comput. Vis. Image Underst..

(Hyper)-graphical models in biomedical image analysis

Nikos Komodakis, Nikos Paragios, Evangelia I. Zacharaki, 2016, Medical Image Anal..

A Framework for Efficient Structured Max-Margin Learning of High-Order MRF Models

Nikos Komodakis, Nikos Paragios, Bo Xiang, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning

Nikos Komodakis, Georgios Tziritas, N. Komodakis, 2007, IEEE Transactions on Image Processing.

New Results - Fusion/Registration

Ben Glocker, Nikos Komodakis, Nikos Paragios, 2011 .

Scattering Networks for Hybrid Representation Learning

Nikos Komodakis, Matthew B. Blaschko, Matthew Blaschko, 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Markov random field optimization for intensity-based 2D-3D registration

Nassir Navab, Ben Glocker, Nikos Komodakis, 2010, Medical Imaging.

Linear image registration through MRF optimization

Nassir Navab, Ben Glocker, Nikos Komodakis, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Building detection in very high resolution multispectral data with deep learning features

Nikos Komodakis, Nikos Paragios, Maria Vakalopoulou, 2015, 2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

Robotic intelligent vision and control for tunnel inspection and evaluation - The ROBINSPECT EC project

Nikos Komodakis, Angelos Amditis, Stephanos Camarinopoulos, 2014, 2014 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Proceedings.

Discrete tracking of parametrized curves

Nassir Navab, Ben Glocker, Nikos Komodakis, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics

Ben Glocker, Nikos Komodakis, Nikos Paragios, 2009, MICCAI.

Learning to cluster using high order graphical models with latent variables

Nikos Komodakis, 2011, 2011 International Conference on Computer Vision.

HARF: Hierarchy-Associated Rich Features for Salient Object Detection

Nikos Komodakis, Wenbin Zou, N. Komodakis, 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

Computer Vision and Image Understanding, Special issue on Optimization for vision, graphics and medical imaging: Theory and applications

Nikos Komodakis, Nikos Paragios, Horst Bischof, 2011 .

Towards More Efficient and Effective LP-Based Algorithms for MRF Optimization

Nikos Komodakis, N. Komodakis, 2010, ECCV.

Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming

Nassir Navab, Ben Glocker, Nikos Komodakis, 2007, IPMI.

Rotation Equivariant Vector Field Networks

Nikos Komodakis, Michele Volpi, Devis Tuia, 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

Image Completion Using Global Optimization

Nikos Komodakis, N. Komodakis, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Graph-based knowledge-driven discrete segmentation of the left ventricle

Nikos Komodakis, Nikos Paragios, Ahmed Besbes, 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Beyond pairwise energies: Efficient optimization for higher-order MRFs

Nikos Komodakis, Nikos Paragios, N. Komodakis, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

Shape priors and discrete MRFs for knowledge-based segmentation

Nikos Komodakis, Nikos Paragios, Georg Langs, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems

Sebastian Nowozin, Nikos Komodakis, Christoph Schnörr, 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems

Sebastian Nowozin, Nikos Komodakis, Christoph Schnörr, 2014, International Journal of Computer Vision.

Expression Mimicking : From 2D Monocular Sequences to 3D Animations

Nikos Komodakis, Nikos Paragios, Benedicte Bascle, 2007, ISVC.

Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

Nikos Komodakis, Martin Simonovsky, N. Komodakis, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs

Nassir Navab, Ben Glocker, Nikos Komodakis, 2009, ISVC.

Optical flow estimation with uncertainties through dynamic MRFs

Nassir Navab, Ben Glocker, Nikos Komodakis, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Autonomous robotic system for tunnel structural inspection and assessment

Nikos Komodakis, Angelos Amditis, Carlos Balaguer, 2018, International Journal of Intelligent Robotics and Applications.

Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning

Nikos Komodakis, Spyros Gidaris, Spyros Gidaris, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

MRF Energy Minimization and Beyond via Dual Decomposition

Nikos Komodakis, Georgios Tziritas, Nikos Paragios, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Interactive image segmentation based on synthetic graph coordinates

Nikos Komodakis, Georgios Tziritas, Paraskevi Fragopoulou, 2013, Pattern Recognit..

Unsupervised Joint Salient Region Detection and Object Segmentation

Nikos Komodakis, Zhi Liu, Yong Zhao, 2015, IEEE Transactions on Image Processing.

Learning to compare image patches via convolutional neural networks

Nikos Komodakis, Sergey Zagoruyko, N. Komodakis, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles

Nikos Komodakis, Nikos Paragios, N. Komodakis, 2008, ECCV.

Newton-Type Methods for Inference in Higher-Order Markov Random Fields

Nikos Komodakis, Nikos Paragios, Hariprasad Kannan, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Deep compare: A study on using convolutional neural networks to compare image patches

Nikos Komodakis, Sergey Zagoruyko, N. Komodakis, 2017, Comput. Vis. Image Underst..

Tighter continuous relaxations for MAP inference in discrete MRFs: A survey

Nikos Komodakis, Nikos Paragios, Hariprasad Kannan, 2019, Handbook of Numerical Analysis.

Hierarchical Saliency Detection via Probabilistic Object Boundaries

Nikos Komodakis, Haijun Lei, Wenbin Zou, 2017, Int. J. Pattern Recognit. Artif. Intell..

MRF-Based Blind Image Deconvolution

Nikos Komodakis, Nikos Paragios, N. Komodakis, 2012, ACCV.

Discrete Visual Perception

Nikos Komodakis, Nikos Paragios, N. Komodakis, 2014, 2014 22nd International Conference on Pattern Recognition.

Special issue on Optimization for vision, graphics and medical imaging: Theory and applications

Nikos Komodakis, Nikos Paragios, Horst Bischof, 2011, Comput. Vis. Image Underst..

Cloud-Gan: Cloud Removal for Sentinel-2 Imagery Using a Cyclic Consistent Generative Adversarial Networks

Nikos Komodakis, Praveer Singh, N. Komodakis, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Robust 3-D motion estimation and depth layering

Nikos Komodakis, Georgios Tziritas, N. Komodakis, 1997, Proceedings of 13th International Conference on Digital Signal Processing.

Beyond pairwise energies: Efficient optimization for higher-order MRFs

Nikos Komodakis, Nikos Paragios, 2009, CVPR.

QUEST: Quantized embedding space for transferring knowledge

Matthieu Cord, Nikos Komodakis, Spyros Gidaris, 2019, ECCV.

A Robust and Efficient Approach to License Plate Detection

Nikos Komodakis, Yong Zhao, Wenbin Zou, 2017, IEEE Transactions on Image Processing.

Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling

Nikos Komodakis, Spyros Gidaris, Spyros Gidaris, 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning

Patrick Pérez, Matthieu Cord, Nikos Komodakis, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing

Nikos Komodakis, Simone Scardapane, Valerio Marsocci, 2021, Remote. Sens..

Discrete tracking of parametrized curves

Nassir Navab, Ben Glocker, Nikos Komodakis, 2009, CVPR 2009.

QUEST: Quantized embedding space for transferring knowledge pdf

Matthieu Cord, Nikos Komodakis, Spyros Gidaris, 2020, ECCV.

Fast Primal-Dual Strategies for MRF Optimization

Nikos Komodakis, Georgios Tziritas, Nikos Paragios, 2007 .