Nikos Komodakis

Affiliations:
  • University of Crete, Computer Science Department, Greece


According to our database1, Nikos Komodakis authored at least 108 papers between 2004 and 2022.

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Bibliography

2022
Self-supervised learning for medieval handwriting identification: A case study from the Vatican Apostolic Library.
Inf. Process. Manag., 2022

What to Hide from Your Students: Attention-Guided Masked Image Modeling.
CoRR, 2022

2021
MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing.
Remote. Sens., 2021

OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Deep Tone Mapping Operator for High Dynamic Range Images.
IEEE Trans. Image Process., 2020

Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning.
CoRR, 2020

QuEST: Quantized Embedding Space for Transferring Knowledge.
Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Representations by Predicting Bags of Visual Words.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Scattering Networks for Hybrid Representation Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Exploring weight symmetry in deep neural networks.
Comput. Vis. Image Underst., 2019

Boosting Few-Shot Visual Learning With Self-Supervision.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
SCOM: Spatiotemporal Constrained Optimization for Salient Object Detection.
IEEE Trans. Image Process., 2018

Improving Recognition of Complex Aerial Scenes Using a Deep Weakly Supervised Learning Paradigm.
IEEE Geosci. Remote. Sens. Lett., 2018

Autonomous robotic system for tunnel structural inspection and assessment.
Int. J. Intell. Robotics Appl., 2018

Exploring Weight Symmetry in Deep Neural Network.
CoRR, 2018

Cloud-Gan: Cloud Removal for Sentinel-2 Imagery Using a Cyclic Consistent Generative Adversarial Networks.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Effective Building Extraction by Learning to Detect and Correct Erroneous Labels in Segmentation Mask.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Towards Variational Generation of Small Graphs.
Proceedings of the 6th International Conference on Learning Representations, 2018

Unsupervised Representation Learning by Predicting Image Rotations.
Proceedings of the 6th International Conference on Learning Representations, 2018

GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Dynamic Few-Shot Visual Learning Without Forgetting.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
A Robust and Efficient Approach to License Plate Detection.
IEEE Trans. Image Process., 2017

Hierarchical Saliency Detection via Probabilistic Object Boundaries.
Int. J. Pattern Recognit. Artif. Intell., 2017

Deep compare: A study on using convolutional neural networks to compare image patches.
Comput. Vis. Image Underst., 2017

DiracNets: Training Very Deep Neural Networks Without Skip-Connections.
CoRR, 2017

Patchwork Stereo: Scalable, Structure-Aware 3D Reconstruction in Man-Made Environments.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer.
Proceedings of the 5th International Conference on Learning Representations, 2017

Rotation Equivariant Vector Field Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Newton-Type Methods for Inference in Higher-Order Markov Random Fields.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016

(Hyper)-graphical models in biomedical image analysis.
Medical Image Anal., 2016

(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision.
Found. Trends Comput. Graph. Vis., 2016

Inference and Learning of Graphical Models: Theory and Applications in Computer Vision and Image Analysis.
Comput. Vis. Image Underst., 2016

A Deep Metric for Multimodal Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

LocNet: Improving Localization Accuracy for Object Detection.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Wide Residual Networks.
Proceedings of the British Machine Vision Conference 2016, 2016

OnionNet: Sharing Features in Cascaded Deep Classifiers.
Proceedings of the British Machine Vision Conference 2016, 2016

Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Unsupervised Joint Salient Region Detection and Object Segmentation.
IEEE Trans. Image Process., 2015

Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems.
IEEE Signal Process. Mag., 2015

A Framework for Efficient Structured Max-Margin Learning of High-Order MRF Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems.
Int. J. Comput. Vis., 2015

Object detection via a multi-region & semantic segmentation-aware CNN model.
CoRR, 2015

Building detection in very high resolution multispectral data with deep learning features.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

HARF: Hierarchy-Associated Rich Features for Salient Object Detection.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning to compare image patches via convolutional neural networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014
Speeding-up Graphical Model Optimization via a Coarse-to-fine Cascade of Pruning Classifiers.
CoRR, 2014

Robotic intelligent vision and control for tunnel inspection and evaluation - The ROBINSPECT EC project.
Proceedings of the 2014 IEEE International Symposium on Robotic and Sensors Environments, 2014

Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Discrete Visual Perception.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A MAP-Estimation Framework for Blind Deblurring Using High-Level Edge Priors.
Proceedings of the Computer Vision - ECCV 2014, 2014

Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Interactive image segmentation based on synthetic graph coordinates.
Pattern Recognit., 2013

Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey.
Comput. Vis. Image Underst., 2013

Pose Invariant Deformable Shape Priors Using L 1 Higher Order Sparse Graphs.
Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling.
Proceedings of the Computer Analysis of Images and Patterns, 2013

Graphical Model Inference and Learning for Visual Computing.
, 2013

2012
MRF-Based Blind Image Deconvolution.
Proceedings of the Computer Vision - ACCV 2012, 2012

2011
MRF Energy Minimization and Beyond via Dual Decomposition.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Special issue on Optimization for vision, graphics and medical imaging: Theory and applications.
Comput. Vis. Image Underst., 2011

Learning to cluster using high order graphical models with latent variables.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Efficient training for pairwise or higher order CRFs via dual decomposition.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Linear intensity-based image registration by Markov random fields and discrete optimization.
Medical Image Anal., 2010

Markov random field optimization for intensity-based 2D-3D registration.
Proceedings of the Medical Imaging 2010: Image Processing, 2010

A kernel-based graphical model for diffusion tensor registration.
Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

Flooding and MRF-based Algorithms for Interactive Segmentation.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Towards More Efficient and Effective LP-Based Algorithms for MRF Optimization.
Proceedings of the Computer Vision, 2010

2009
Real-time exploration and photorealistic reconstruction of large natural environments.
Vis. Comput., 2009

Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs.
Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

Atlas-Based Deformable Mutual Population Segmentation.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Linear Image Registration Through MRF Optimization.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Graph-Based Knowledge-Driven Discrete Segmentation of the Left Ventricle.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics.
Proceedings of the Information Processing in Medical Imaging, 2009

Dense Registration with Deformation Priors.
Proceedings of the Information Processing in Medical Imaging, 2009

Beyond pairwise energies: Efficient optimization for higher-order MRFs.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Discrete tracking of parametrized curves.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Shape priors and discrete MRFs for knowledge-based segmentation.
Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

MRI Composing for Whole Body Imaging.
Proceedings of the Bildverarbeitung für die Medizin 2009: Algorithmen - Systeme, 2009

2008
Dense image registration through MRFs and efficient linear programming.
Medical Image Anal., 2008

Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies.
Comput. Vis. Image Underst., 2008

Morphable 3D-Mosaics: A Hybrid Framework for Photorealistic Walkthroughs of Large Natural Environments.
Adv. Multim., 2008

Clustering via LP-based Stabilities.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Deformable Mosaicing for Whole-Body MRI.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Knee reconstruction through efficient linear programming.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles.
Proceedings of the Computer Vision, 2008

Optical flow estimation with uncertainties through dynamic MRFs.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Effiziente nichtlineare Registrierung mittels diskreter Optimierung.
Proceedings of the Bildverarbeitung für die Medizin 2008, 2008

Commentary Paper on "Textural Segmentation of Sidescan Sonar Images Based on Gabor Filters Bank and Active Contours without Edges".
Proceedings of the Fifth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2008

2007
Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning.
IEEE Trans. Image Process., 2007

Approximate Labeling via Graph Cuts Based on Linear Programming.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Bayesian Region Growing and MRF-based Minimization for Texture and Colour Segmentation.
Proceedings of the Eighth International Workshop on Image Analysis for Multimedia Interactive Services, 2007

Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29, 2007

Expression Mimicking : From 2D Monocular Sequences to 3D Animations.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization.
Proceedings of the Advances in Visual Computing, Third International Symposium, 2007

Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming.
Proceedings of the Information Processing in Medical Imaging, 2007

MRF Optimization via Dual Decomposition: Message-Passing Revisited.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Fast, Approximately Optimal Solutions for Single and Dynamic MRFs.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Image Completion Using Global Optimization.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
3D visual reconstruction of large scale natural sites and their fauna.
Signal Process. Image Commun., 2005

A New Framework for Approximate Labeling via Graph Cuts.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004
Interactive Walkthroughs using "Morphable 3D-Mosaics".
Proceedings of the 2nd International Symposium on 3D Data Processing, 2004


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