Nikos Komodakis

153 papers A* 28A 4B 4C 3Journal 73Unranked 39

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A High-Level Survey of Optical Remote Sensing. CoRR Panagiotis Koletsis, Vasilis Efthymiou, Maria Vakalopoulou, Nikos Komodakis, Anastasios Doulamis, Georgios Th. Papadopoulos
2026	J	`jnl`	Retrieve and Segment: Are a Few Examples Enough to Bridge the Supervision Gap in Open-Vocabulary Segmentation? CoRR Tilemachos Aravanis, Vladan Stojnic, Bill Psomas, Nikos Komodakis, Giorgos Tolias
2025	A*	`conf`	Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers. CVPR Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, Nikos Komodakis
2025	J	`jnl`	Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers. CoRR Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, Nikos Komodakis
2025	J	`jnl`	Attention, Please! Revisiting Attentive Probing for Masked Image Modeling. CoRR Bill Psomas, Dionysis Christopoulos, Eirini Baltzi, Ioannis Kakogeorgiou, Tilemachos Aravanis, Nikos Komodakis, Konstantinos Karantzalos, Yannis Avrithis, Giorgos Tolias
2025	J	`jnl`	Boosting Generative Image Modeling via Joint Image-Feature Synthesis. CoRR Theodoros Kouzelis, Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, Nikos Komodakis
2025	J	`jnl`	Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis. Medical Image Anal. Quentin Spinat, Benoît Audelan, Xiaotong Jiang, Bastien Caba, Alexis Benichoux, Despoina Ioannidou, Olivier Teboul, Nikos Komodakis, Willem Huijbers, Refaat Gabr, Arie Gafson, Colm Elliott, Douglas L. Arnold, Nikos Paragios, Shibeshih Mitiku Belachew
2025	—	`conf`	Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View. MICCAI (13) Quentin Spinat, Audrey Duran, Olivier Teboul, Nikos Paragios, Nikos Komodakis
2025	A*	`conf`	EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling. ICML Theodoros Kouzelis, Ioannis Kakogeorgiou, Spyros Gidaris, Nikos Komodakis
2025	J	`jnl`	EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling. CoRR Theodoros Kouzelis, Ioannis Kakogeorgiou, Spyros Gidaris, Nikos Komodakis
2025	J	`jnl`	Multi-Token Prediction Needs Registers. CoRR Anastasios Gerontopoulos, Spyros Gidaris, Nikos Komodakis
2025	J	`jnl`	ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations. CoRR Dmitriy Shopkhoev, Ammar Ali, Magauiya Zhussip, Valentin Malykh, Stamatios Lefkimmiatis, Nikos Komodakis, Sergey Zagoruyko
2024	J	`jnl`	DINO-Foresight: Looking into the Future with DINO. CoRR Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, Nikos Komodakis
2024	J	`jnl`	MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. Trans. Mach. Learn. Res. Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez
2024	—	`conf`	SFTC: Machine Unlearning via Selective Fine-tuning and Targeted Confusion. EICC Vasileios Perifanis, Efstathios Karypidis, Nikos Komodakis, Pavlos S. Efraimidis
2024	A*	`conf`	SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers. CVPR Ioannis Kakogeorgiou, Spyros Gidaris, Konstantinos Karantzalos, Nikos Komodakis
2024	A*	`conf`	ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images. CVPR Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Mitiku Belachew, Nikos Komodakis, Nikos Paragios
2024	J	`jnl`	ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images. CoRR Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Mitiku Belachew, Nikos Komodakis, Nikos Paragios
2023	—	`conf`	Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation. IPMI Sonia Martinot, Nikos Komodakis, Maria Vakalopoulou, Norbert Bus, Charlotte Robert, Eric Deutsch, Nikos Paragios
2023	J	`jnl`	MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. CoRR Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez
2023	J	`jnl`	SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers. CoRR Ioannis Kakogeorgiou, Spyros Gidaris, Konstantinos Karantzalos, Nikos Komodakis
2022	J	`jnl`	Self-supervised learning for medieval handwriting identification: A case study from the Vatican Apostolic Library. Inf. Process. Manag. Lorenzo Lastilla, Serena Ammirati, Donatella Firmani, Nikos Komodakis, Paolo Merialdo, Simone Scardapane
2022	—	`conf`	What to Hide from Your Students: Attention-Guided Masked Image Modeling. ECCV (30) Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis
2022	J	`jnl`	What to Hide from Your Students: Attention-Guided Masked Image Modeling. CoRR Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis
2021	J	`jnl`	MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing. Remote. Sens. Valerio Marsocci, Simone Scardapane, Nikos Komodakis
2021	A*	`conf`	OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. CVPR Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez
2020	J	`jnl`	Deep Tone Mapping Operator for High Dynamic Range Images. IEEE Trans. Image Process. Aakanksha Rana, Praveer Singh, Giuseppe Valenzise, Frédéric Dufaux, Nikos Komodakis, Aljosa Smolic
2020	A*	`conf`	Learning Representations by Predicting Bags of Visual Words. CVPR Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
2020	J	`jnl`	Learning Representations by Predicting Bags of Visual Words. CoRR Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
2020	J	`jnl`	Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. CoRR Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez
2020	—	`conf`	QuEST: Quantized Embedding Space for Transferring Knowledge. ECCV (21) Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord
2019	A*	`conf`	Boosting Few-Shot Visual Learning With Self-Supervision. ICCV Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
2019	J	`jnl`	Boosting Few-Shot Visual Learning with Self-Supervision. CoRR Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
2019	J	`jnl`	Deep Tone Mapping Operator for High Dynamic Range Images. CoRR Aakanksha Rana, Praveer Singh, Giuseppe Valenzise, Frédéric Dufaux, Nikos Komodakis, Aljosa Smolic
2019	J	`jnl`	Exploring weight symmetry in deep neural networks. Comput. Vis. Image Underst. Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis
2019	A*	`conf`	Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning. CVPR Spyros Gidaris, Nikos Komodakis
2019	J	`jnl`	Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning. CoRR Spyros Gidaris, Nikos Komodakis
2019	J	`jnl`	QUEST: Quantized embedding space for transferring knowledge. CoRR Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord
2019	J	`jnl`	Scattering Networks for Hybrid Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky
2018	J	`jnl`	Autonomous robotic system for tunnel structural inspection and assessment. Int. J. Intell. Robotics Appl. 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
2018	C	`conf`	Cloud-Gan: Cloud Removal for Sentinel-2 Imagery Using a Cyclic Consistent Generative Adversarial Networks. IGARSS Praveer Singh, Nikos Komodakis
2018	A*	`conf`	Dynamic Few-Shot Visual Learning Without Forgetting. CVPR Spyros Gidaris, Nikos Komodakis
2018	J	`jnl`	Dynamic Few-Shot Visual Learning without Forgetting. CoRR Spyros Gidaris, Nikos Komodakis
2018	C	`conf`	Effective Building Extraction by Learning to Detect and Correct Erroneous Labels in Segmentation Mask. IGARSS Praveer Singh, Nikos Komodakis
2018	J	`jnl`	Exploring Weight Symmetry in Deep Neural Network. CoRR Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis
2018	—	`conf`	GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders. ICANN (1) Martin Simonovsky, Nikos Komodakis
2018	J	`jnl`	GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders. CoRR Martin Simonovsky, Nikos Komodakis
2018	J	`jnl`	Improving Recognition of Complex Aerial Scenes Using a Deep Weakly Supervised Learning Paradigm. IEEE Geosci. Remote. Sens. Lett. Praveer Singh, Nikos Komodakis
2018	J	`jnl`	SCOM: Spatiotemporal Constrained Optimization for Salient Object Detection. IEEE Trans. Image Process. Yuhuan Chen, Wenbin Zou, Yi Tang, Xia Li, Chen Xu, Nikos Komodakis
2018	J	`jnl`	Scattering Networks for Hybrid Representation Learning. CoRR Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky
2018	—	`conf`	Towards Variational Generation of Small Graphs. ICLR (Workshop) Martin Simonovsky, Nikos Komodakis
2018	—	`conf`	Unsupervised Representation Learning by Predicting Image Rotations. ICLR (Poster) Spyros Gidaris, Praveer Singh, Nikos Komodakis
2018	J	`jnl`	Unsupervised Representation Learning by Predicting Image Rotations. CoRR Spyros Gidaris, Praveer Singh, Nikos Komodakis
2017	J	`jnl`	A Robust and Efficient Approach to License Plate Detection. IEEE Trans. Image Process. Yule Yuan, Wenbin Zou, Yong Zhao, Xin'an Wang, Xuefeng Hu, Nikos Komodakis
2017	J	`jnl`	Deep compare: A study on using convolutional neural networks to compare image patches. Comput. Vis. Image Underst. Sergey Zagoruyko, Nikos Komodakis
2017	A*	`conf`	Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling. CVPR Spyros Gidaris, Nikos Komodakis
2017	J	`jnl`	DiracNets: Training Very Deep Neural Networks Without Skip-Connections. CoRR Sergey Zagoruyko, Nikos Komodakis
2017	A*	`conf`	Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs. CVPR Martin Simonovsky, Nikos Komodakis
2017	J	`jnl`	Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs. CoRR Martin Simonovsky, Nikos Komodakis
2017	J	`jnl`	Hierarchical Saliency Detection via Probabilistic Object Boundaries. Int. J. Pattern Recognit. Artif. Intell. Haijun Lei, Hai Xie, Wenbin Zou, Xiaoli Sun, Kidiyo Kpalma, Nikos Komodakis
2017	A*	`conf`	Newton-Type Methods for Inference in Higher-Order Markov Random Fields. CVPR Hariprasad Kannan, Nikos Komodakis, Nikos Paragios
2017	J	`jnl`	Newton-type Methods for Inference in Higher-Order Markov Random Fields. CoRR Hariprasad Kannan, Nikos Komodakis, Nikos Paragios
2017	A	`conf`	Patchwork Stereo: Scalable, Structure-Aware 3D Reconstruction in Man-Made Environments. WACV Amine Bourki, Martin de La Gorce, Renaud Marlet, Nikos Komodakis
2017	—	`conf`	Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. ICLR (Poster) Sergey Zagoruyko, Nikos Komodakis
2017	A*	`conf`	Rotation Equivariant Vector Field Networks. ICCV Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia
2016	J	`jnl`	(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision. Found. Trends Comput. Graph. Vis. Nikos Komodakis, M. Pawan Kumar, Nikos Paragios
2016	J	`jnl`	(Hyper)-graphical models in biomedical image analysis. Medical Image Anal. Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki
2016	—	`conf`	A Deep Metric for Multimodal Registration. MICCAI (3) Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis
2016	J	`jnl`	A Deep Metric for Multimodal Registration. CoRR Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis
2016	A	`conf`	Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization. BMVC Spyridon Gidaris, Nikos Komodakis
2016	J	`jnl`	Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization. CoRR Spyros Gidaris, Nikos Komodakis
2016	J	`jnl`	Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling. CoRR Spyros Gidaris, Nikos Komodakis
2016	J	`jnl`	Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
2016	J	`jnl`	Inference and Learning of Graphical Models: Theory and Applications in Computer Vision and Image Analysis. Comput. Vis. Image Underst. Chaohui Wang, Nikos Komodakis, Hiroshi Ishikawa, Olga Veksler, Endre Boros
2016	A*	`conf`	LocNet: Improving Localization Accuracy for Object Detection. CVPR Spyros Gidaris, Nikos Komodakis
2016	A	`conf`	OnionNet: Sharing Features in Cascaded Deep Classifiers. BMVC Martin Simonovsky, Nikos Komodakis
2016	J	`jnl`	OnionNet: Sharing Features in Cascaded Deep Classifiers. CoRR Martin Simonovsky, Nikos Komodakis
2016	J	`jnl`	Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. CoRR Sergey Zagoruyko, Nikos Komodakis
2016	J	`jnl`	Rotation equivariant vector field networks. CoRR Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia
2016	A	`conf`	Wide Residual Networks. BMVC Sergey Zagoruyko, Nikos Komodakis
2016	J	`jnl`	Wide Residual Networks. CoRR Sergey Zagoruyko, Nikos Komodakis
2015	J	`jnl`	A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. 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
2015	J	`jnl`	A Framework for Efficient Structured Max-Margin Learning of High-Order MRF Models. IEEE Trans. Pattern Anal. Mach. Intell. Nikos Komodakis, Bo Xiang, Nikos Paragios
2015	C	`conf`	Building detection in very high resolution multispectral data with deep learning features. IGARSS Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
2015	A*	`conf`	HARF: Hierarchy-Associated Rich Features for Salient Object Detection. ICCV Wenbin Zou, Nikos Komodakis
2015	J	`jnl`	Learning to Compare Image Patches via Convolutional Neural Networks. CoRR Sergey Zagoruyko, Nikos Komodakis
2015	A*	`conf`	Learning to compare image patches via convolutional neural networks. CVPR Sergey Zagoruyko, Nikos Komodakis
2015	J	`jnl`	LocNet: Improving Localization Accuracy for Object Detection. CoRR Spyros Gidaris, Nikos Komodakis
2015	A*	`conf`	Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model. ICCV Spyros Gidaris, Nikos Komodakis
2015	J	`jnl`	Object detection via a multi-region & semantic segmentation-aware CNN model. CoRR Spyros Gidaris, Nikos Komodakis
2015	J	`jnl`	Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems. IEEE Signal Process. Mag. Nikos Komodakis, Jean-Christophe Pesquet
2015	—	`conf`	Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data. CVPR Workshops Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
2015	J	`jnl`	Unsupervised Joint Salient Region Detection and Object Segmentation. IEEE Trans. Image Process. Wenbin Zou, Zhi Liu, Kidiyo Kpalma, Joseph Ronsin, Yong Zhao, Nikos Komodakis
2014	J	`jnl`	A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR 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
2014	—	`conf`	A MAP-Estimation Framework for Blind Deblurring Using High-Level Edge Priors. ECCV (2) Yipin Zhou, Nikos Komodakis
2014	B	`conf`	Discrete Visual Perception. ICPR Nikos Paragios, Nikos Komodakis
2014	—	`conf`	Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers. NIPS Bruno Conejo, Nikos Komodakis, Sébastien Leprince, Jean-Philippe Avouac
2014	A*	`conf`	Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching. CVPR Aristotle Spyropoulos, Nikos Komodakis, Philippos Mordohai
2014	J	`jnl`	Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems. CoRR Nikos Komodakis, Jean-Christophe Pesquet
2014	—	`conf`	Robotic intelligent vision and control for tunnel inspection and evaluation - The ROBINSPECT EC project. ROSE 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
2014	J	`jnl`	Speeding-up Graphical Model Optimization via a Coarse-to-fine Cascade of Pruning Classifiers. CoRR Bruno Conejo, Nikos Komodakis, Sébastien Leprince, Jean-Philippe Avouac
2013	A*	`conf`	A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR 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
2013	—	`book`	Graphical Model Inference and Learning for Visual Computing. Nikos Komodakis
2013	—	`conf`	Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling. CAIP (1) Costas Panagiotakis, Harris Papadakis, Elias Grinias, Nikos Komodakis, Paraskevi Fragopoulou, Georgios Tziritas
2013	J	`jnl`	Interactive image segmentation based on synthetic graph coordinates. Pattern Recognit. Costas Panagiotakis, Harris Papadakis, Ilias Grinias, Nikos Komodakis, Paraskevi Fragopoulou, Georgios Tziritas
2013	J	`jnl`	Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey. Comput. Vis. Image Underst. Chaohui Wang, Nikos Komodakis, Nikos Paragios
2013	—	`conf`	Pose Invariant Deformable Shape Priors Using L 1 Higher Order Sparse Graphs. ISVC (1) Bo Xiang, Nikos Komodakis, Nikos Paragios
2012	—	`conf`	MRF-Based Blind Image Deconvolution. ACCV (3) Nikos Komodakis, Nikos Paragios
2011	A*	`conf`	Efficient training for pairwise or higher order CRFs via dual decomposition. CVPR Nikos Komodakis
2011	A*	`conf`	Learning to cluster using high order graphical models with latent variables. ICCV Nikos Komodakis
2011	J	`jnl`	MRF Energy Minimization and Beyond via Dual Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. Nikos Komodakis, Nikos Paragios, Georgios Tziritas
2011	J	`jnl`	Special issue on Optimization for vision, graphics and medical imaging: Theory and applications. Comput. Vis. Image Underst. Nikos Komodakis, Georg Langs, Horst Bischof, Nikos Paragios
2010	—	`conf`	A kernel-based graphical model for diffusion tensor registration. ISBI Aristeidis Sotiras, Radhouène Neji, Jean-François Deux, Nikos Komodakis, Gilles Fleury, Nikos Paragios
2010	B	`conf`	Flooding and MRF-based Algorithms for Interactive Segmentation. ICPR Ilias Grinias, Nikos Komodakis, Georgios Tziritas
2010	J	`jnl`	Linear intensity-based image registration by Markov random fields and discrete optimization. Medical Image Anal. Darko Zikic, Ben Glocker, Oliver Kutter, Martin Groher, Nikos Komodakis, Ali Kamen, Nikos Paragios, Nassir Navab
2010	B	`conf`	Markov random field optimization for intensity-based 2D-3D registration. Image Processing Darko Zikic, Ben Glocker, Oliver Kutter, Martin Groher, Nikos Komodakis, Ali Khamene, Nikos Paragios, Nassir Navab
2010	—	`conf`	Towards More Efficient and Effective LP-Based Algorithms for MRF Optimization. ECCV (2) Nikos Komodakis
2009	—	`conf`	Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs. ISVC (1) Ben Glocker, Nikos Komodakis, Nikos Paragios, Nassir Navab
2009	—	`conf`	Atlas-Based Deformable Mutual Population Segmentation. ISBI Aristeidis Sotiras, Nikos Komodakis, Georg Langs, Nikos Paragios
2009	A*	`conf`	Beyond pairwise energies: Efficient optimization for higher-order MRFs. CVPR Nikos Komodakis, Nikos Paragios
2009	—	`conf`	Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics. IPMI Radhouène Neji, Ahmed Besbes, Nikos Komodakis, Jean-François Deux, Mezri Maatouk, Alain Rahmouni, Guillaume Bassez, Gilles Fleury, Nikos Paragios
2009	—	`conf`	Dense Registration with Deformation Priors. IPMI Ben Glocker, Nikos Komodakis, Nassir Navab, Georgios Tziritas, Nikos Paragios
2009	A*	`conf`	Discrete tracking of parametrized curves. CVPR Tim Hauke Heibel, Ben Glocker, Martin Groher, Nikos Paragios, Nikos Komodakis, Nassir Navab
2009	—	`conf`	Graph-Based Knowledge-Driven Discrete Segmentation of the Left Ventricle. ISBI Ahmed Besbes, Nikos Komodakis, Nikos Paragios
2009	—	`conf`	Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics. MICCAI (1) Aristeidis Sotiras, Nikos Komodakis, Ben Glocker, Jean-François Deux, Nikos Paragios
2009	—	`conf`	Linear Image Registration Through MRF Optimization. ISBI Ben Glocker, Darko Zikic, Nikos Komodakis, Nikos Paragios, Nassir Navab
2009	—	`conf`	MRI Composing for Whole Body Imaging. Bildverarbeitung für die Medizin Ben Glocker, Christian Wachinger, Jochen Zeltner, Nikos Paragios, Nikos Komodakis, Michael Sass Hansen, Nassir Navab
2009	J	`jnl`	Real-time exploration and photorealistic reconstruction of large natural environments. Vis. Comput. Nikos Komodakis, Georgios Tziritas
2009	A*	`conf`	Shape priors and discrete MRFs for knowledge-based segmentation. CVPR Ahmed Besbes, Nikos Komodakis, Georg Langs, Nikos Paragios
2008	—	`conf`	Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles. ECCV (3) Nikos Komodakis, Nikos Paragios
2008	—	`conf`	Clustering via LP-based Stabilities. NIPS Nikos Komodakis, Nikos Paragios, Georgios Tziritas
2008	B	`conf`	Commentary Paper on "Textural Segmentation of Sidescan Sonar Images Based on Gabor Filters Bank and Active Contours without Edges". AVSS Nikos Komodakis, George Bebis
2008	—	`conf`	Deformable Mosaicing for Whole-Body MRI. MICCAI (2) Christian Wachinger, Ben Glocker, Jochen Zeltner, Nikos Paragios, Nikos Komodakis, Michael Sass Hansen, Nassir Navab
2008	J	`jnl`	Dense image registration through MRFs and efficient linear programming. Medical Image Anal. Ben Glocker, Nikos Komodakis, Georgios Tziritas, Nassir Navab, Nikos Paragios
2008	—	`conf`	Effiziente nichtlineare Registrierung mittels diskreter Optimierung. Bildverarbeitung für die Medizin Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab
2008	—	`conf`	Knee reconstruction through efficient linear programming. ISBI Mihai Sardarescu, Nikos Paragios, Nikos Komodakis, Rémy Raymond, Phillipe Hernigou, Alain Rahmouni
2008	J	`jnl`	Morphable 3D-Mosaics: A Hybrid Framework for Photorealistic Walkthroughs of Large Natural Environments. Adv. Multim. Nikos Komodakis, Georgios Tziritas
2008	A*	`conf`	Optical flow estimation with uncertainties through dynamic MRFs. CVPR Ben Glocker, Nikos Paragios, Nikos Komodakis, Georgios Tziritas, Nassir Navab
2008	J	`jnl`	Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies. Comput. Vis. Image Underst. Nikos Komodakis, Georgios Tziritas, Nikos Paragios
2007	—	`conf`	4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization. ISVC (1) Ahmed Besbes, Nikos Komodakis, Ben Glocker, Georgios Tziritas, Nikos Paragios
2007	J	`jnl`	Approximate Labeling via Graph Cuts Based on Linear Programming. IEEE Trans. Pattern Anal. Mach. Intell. Nikos Komodakis, Georgios Tziritas
2007	—	`conf`	Bayesian Region Growing and MRF-based Minimization for Texture and Colour Segmentation. WIAMIS Ilias Grinias, Nikos Komodakis, Georgios Tziritas
2007	—	`conf`	Expression Mimicking : From 2D Monocular Sequences to 3D Animations. ISVC (2) Charlotte Ghys, Maxime Taron, Nikos Paragios, Nikos Komodakis, Benedicte Bascle
2007	A*	`conf`	Fast, Approximately Optimal Solutions for Single and Dynamic MRFs. CVPR Nikos Komodakis, Georgios Tziritas, Nikos Paragios
2007	J	`jnl`	Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning. IEEE Trans. Image Process. Nikos Komodakis, Georgios Tziritas
2007	—	`conf`	Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming. IPMI Ben Glocker, Nikos Komodakis, Nikos Paragios, Georgios Tziritas, Nassir Navab
2007	A*	`conf`	MRF Optimization via Dual Decomposition: Message-Passing Revisited. ICCV Nikos Komodakis, Nikos Paragios, Georgios Tziritas
2007	—	`conf`	Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation. MICCAI (2) Ben Glocker, Nikos Komodakis, Nikos Paragios, Christian Glaser, Georgios Tziritas, Nassir Navab
2006	—	`conf`	Image Completion Using Global Optimization. CVPR (1) Nikos Komodakis
2006	—	`—`	Optimization algorithms for discrete markov random fields with applications to computer vision Nikos Komodakis
2005	J	`jnl`	3D visual reconstruction of large scale natural sites and their fauna. Signal Process. Image Commun. Nikos Komodakis, Costas Panagiotakis, George Tziritas
2005	A*	`conf`	A New Framework for Approximate Labeling via Graph Cuts. ICCV Nikos Komodakis, Georgios Tziritas
2004	—	`conf`	Interactive Walkthroughs using "Morphable 3D-Mosaics". 3DPVT Nikos Komodakis, George Pagonis, George Tziritas