Nikos Komodakis

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 66

Top Venues

CoRR

CVPR

IEEE Trans. Image Process.

ICCV

Publications

Vasileios Perifanis, Efstathios Karypidis, Nikos Komodakis, Pavlos S. Efraimidis
SFTC: Machine Unlearning via Selective Fine-tuning and Targeted Confusion. EICC (2024)
Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. Trans. Mach. Learn. Res. 2024 (2024)
Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Mitiku Belachew, Nikos Komodakis, Nikos Paragios
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images. CoRR (2024)
Ioannis Kakogeorgiou, Spyros Gidaris, Konstantinos Karantzalos, Nikos Komodakis
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers. CoRR (2023)
Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Pérez
MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. CoRR (2023)
Sonia Martinot, Nikos Komodakis, Maria Vakalopoulou, Norbert Bus, Charlotte Robert, Eric Deutsch, Nikos Paragios
Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation. IPMI (2023)
Lorenzo Lastilla, Serena Ammirati, Donatella Firmani, Nikos Komodakis, Paolo Merialdo, Simone Scardapane
Self-supervised learning for medieval handwriting identification: A case study from the Vatican Apostolic Library. Inf. Process. Manag. 59 (3) (2022)
Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis
What to Hide from Your Students: Attention-Guided Masked Image Modeling. ECCV (30) (2022)
Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis
What to Hide from Your Students: Attention-Guided Masked Image Modeling. CoRR (2022)
Valerio Marsocci, Simone Scardapane, Nikos Komodakis
MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing. Remote. Sens. 13 (16) (2021)
Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. CVPR (2021)
Aakanksha Rana, Praveer Singh, Giuseppe Valenzise, Frédéric Dufaux, Nikos Komodakis, Aljosa Smolic
Deep Tone Mapping Operator for High Dynamic Range Images. IEEE Trans. Image Process. 29 (2020)
Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord
QuEST: Quantized Embedding Space for Transferring Knowledge. ECCV (21) (2020)
Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez
Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. CoRR (2020)
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
Learning Representations by Predicting Bags of Visual Words. CVPR (2020)
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
Learning Representations by Predicting Bags of Visual Words. CoRR (2020)
Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis
Exploring weight symmetry in deep neural networks. Comput. Vis. Image Underst. 187 (2019)
Spyros Gidaris, Nikos Komodakis
Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning. CoRR (2019)
Aakanksha Rana, Praveer Singh, Giuseppe Valenzise, Frédéric Dufaux, Nikos Komodakis, Aljosa Smolic
Deep Tone Mapping Operator for High Dynamic Range Images. CoRR (2019)
Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord
QUEST: Quantized embedding space for transferring knowledge. CoRR (2019)
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
Boosting Few-Shot Visual Learning with Self-Supervision. CoRR (2019)
Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, Matthieu Cord
Boosting Few-Shot Visual Learning With Self-Supervision. ICCV (2019)
Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky
Scattering Networks for Hybrid Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41 (9) (2019)
Spyros Gidaris, Nikos Komodakis
Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning. CVPR (2019)
Shell Xu Hu, Sergey Zagoruyko, Nikos Komodakis
Exploring Weight Symmetry in Deep Neural Network. CoRR (2018)
Praveer Singh, Nikos Komodakis
Cloud-Gan: Cloud Removal for Sentinel-2 Imagery Using a Cyclic Consistent Generative Adversarial Networks. IGARSS (2018)
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
Autonomous robotic system for tunnel structural inspection and assessment. Int. J. Intell. Robotics Appl. 2 (1) (2018)
Martin Simonovsky, Nikos Komodakis
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders. ICANN (1) (2018)
Praveer Singh, Nikos Komodakis
Improving Recognition of Complex Aerial Scenes Using a Deep Weakly Supervised Learning Paradigm. IEEE Geosci. Remote. Sens. Lett. 15 (12) (2018)
Spyros Gidaris, Praveer Singh, Nikos Komodakis
Unsupervised Representation Learning by Predicting Image Rotations. ICLR (Poster) (2018)
Spyros Gidaris, Praveer Singh, Nikos Komodakis
Unsupervised Representation Learning by Predicting Image Rotations. CoRR (2018)
Spyros Gidaris, Nikos Komodakis
Dynamic Few-Shot Visual Learning without Forgetting. CoRR (2018)
Spyros Gidaris, Nikos Komodakis
Dynamic Few-Shot Visual Learning Without Forgetting. CVPR (2018)
Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky
Scattering Networks for Hybrid Representation Learning. CoRR (2018)
Yuhuan Chen, Wenbin Zou, Yi Tang, Xia Li, Chen Xu, Nikos Komodakis
SCOM: Spatiotemporal Constrained Optimization for Salient Object Detection. IEEE Trans. Image Process. 27 (7) (2018)
Martin Simonovsky, Nikos Komodakis
Towards Variational Generation of Small Graphs. ICLR (Workshop) (2018)
Martin Simonovsky, Nikos Komodakis
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders. CoRR (2018)
Praveer Singh, Nikos Komodakis
Effective Building Extraction by Learning to Detect and Correct Erroneous Labels in Segmentation Mask. IGARSS (2018)
Martin Simonovsky, Nikos Komodakis
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs. CVPR (2017)
Hariprasad Kannan, Nikos Komodakis, Nikos Paragios
Newton-type Methods for Inference in Higher-Order Markov Random Fields. CoRR (2017)
Yule Yuan, Wenbin Zou, Yong Zhao, Xin'an Wang, Xuefeng Hu, Nikos Komodakis
A Robust and Efficient Approach to License Plate Detection. IEEE Trans. Image Process. 26 (3) (2017)
Martin Simonovsky, Nikos Komodakis
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs. CoRR (2017)
Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia
Rotation Equivariant Vector Field Networks. ICCV (2017)
Hariprasad Kannan, Nikos Komodakis, Nikos Paragios
Newton-Type Methods for Inference in Higher-Order Markov Random Fields. CVPR (2017)
Sergey Zagoruyko, Nikos Komodakis
DiracNets: Training Very Deep Neural Networks Without Skip-Connections. CoRR (2017)
Sergey Zagoruyko, Nikos Komodakis
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. ICLR (Poster) (2017)
Amine Bourki, Martin de La Gorce, Renaud Marlet, Nikos Komodakis
Patchwork Stereo: Scalable, Structure-Aware 3D Reconstruction in Man-Made Environments. WACV (2017)
Haijun Lei, Hai Xie, Wenbin Zou, Xiaoli Sun, Kidiyo Kpalma, Nikos Komodakis
Hierarchical Saliency Detection via Probabilistic Object Boundaries. Int. J. Pattern Recognit. Artif. Intell. 31 (6) (2017)
Spyros Gidaris, Nikos Komodakis
Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling. CVPR (2017)
Sergey Zagoruyko, Nikos Komodakis
Deep compare: A study on using convolutional neural networks to compare image patches. Comput. Vis. Image Underst. 164 (2017)
Martin Simonovsky, Nikos Komodakis
OnionNet: Sharing Features in Cascaded Deep Classifiers. BMVC (2016)
Spyros Gidaris, Nikos Komodakis
LocNet: Improving Localization Accuracy for Object Detection. CVPR (2016)
Sergey Zagoruyko, Nikos Komodakis
Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. CoRR (2016)
Sergey Zagoruyko, Nikos Komodakis
Wide Residual Networks. BMVC (2016)
Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis
A Deep Metric for Multimodal Registration. MICCAI (3) (2016)
Spyros Gidaris, Nikos Komodakis
Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling. CoRR (2016)
Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia
Rotation equivariant vector field networks. CoRR (2016)
Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9 (7) (2016)
Nikos Komodakis, M. Pawan Kumar, Nikos Paragios
(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision. Found. Trends Comput. Graph. Vis. 10 (1) (2016)
Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki
(Hyper)-graphical models in biomedical image analysis. Medical Image Anal. 33 (2016)
Sergey Zagoruyko, Nikos Komodakis
Wide Residual Networks. CoRR (2016)
Chaohui Wang, Nikos Komodakis, Hiroshi Ishikawa, Olga Veksler, Endre Boros
Inference and Learning of Graphical Models: Theory and Applications in Computer Vision and Image Analysis. Comput. Vis. Image Underst. 143 (2016)
Martin Simonovsky, Nikos Komodakis
OnionNet: Sharing Features in Cascaded Deep Classifiers. CoRR (2016)
Spyros Gidaris, Nikos Komodakis
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization. CoRR (2016)
Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus, Nassir Navab, Nikos Komodakis
A Deep Metric for Multimodal Registration. CoRR (2016)
Spyridon Gidaris, Nikos Komodakis
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization. BMVC (2016)
Sergey Zagoruyko, Nikos Komodakis
Learning to compare image patches via convolutional neural networks. CVPR (2015)
Spyros Gidaris, Nikos Komodakis
LocNet: Improving Localization Accuracy for Object Detection. CoRR (2015)
Wenbin Zou, Zhi Liu, Kidiyo Kpalma, Joseph Ronsin, Yong Zhao, Nikos Komodakis
Unsupervised Joint Salient Region Detection and Object Segmentation. IEEE Trans. Image Process. 24 (11) (2015)
Wenbin Zou, Nikos Komodakis
HARF: Hierarchy-Associated Rich Features for Salient Object Detection. ICCV (2015)
Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data. CVPR Workshops (2015)
Spyros Gidaris, Nikos Komodakis
Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model. ICCV (2015)
Spyros Gidaris, Nikos Komodakis
Object detection via a multi-region & semantic segmentation-aware CNN model. CoRR (2015)
Nikos Komodakis, Jean-Christophe Pesquet
Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems. IEEE Signal Process. Mag. 32 (6) (2015)
Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios
Building detection in very high resolution multispectral data with deep learning features. IGARSS (2015)
Nikos Komodakis, Bo Xiang, Nikos Paragios
A Framework for Efficient Structured Max-Margin Learning of High-Order MRF Models. IEEE Trans. Pattern Anal. Mach. Intell. 37 (7) (2015)
Sergey Zagoruyko, Nikos Komodakis
Learning to Compare Image Patches via Convolutional Neural Networks. CoRR (2015)
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
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. Int. J. Comput. Vis. 115 (2) (2015)
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
Robotic intelligent vision and control for tunnel inspection and evaluation - The ROBINSPECT EC project. ROSE (2014)
Yipin Zhou, Nikos Komodakis
A MAP-Estimation Framework for Blind Deblurring Using High-Level Edge Priors. ECCV (2) (2014)
Bruno Conejo, Nikos Komodakis, Sébastien Leprince, Jean-Philippe Avouac
Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers. NIPS (2014)
Nikos Paragios, Nikos Komodakis
Discrete Visual Perception. ICPR (2014)
Aristotle Spyropoulos, Nikos Komodakis, Philippos Mordohai
Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching. CVPR (2014)
Bruno Conejo, Nikos Komodakis, Sébastien Leprince, Jean-Philippe Avouac
Speeding-up Graphical Model Optimization via a Coarse-to-fine Cascade of Pruning Classifiers. CoRR (2014)
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
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. CoRR (2014)
Nikos Komodakis, Jean-Christophe Pesquet
Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems. CoRR (2014)
Bo Xiang, Nikos Komodakis, Nikos Paragios
Pose Invariant Deformable Shape Priors Using L 1 Higher Order Sparse Graphs. ISVC (1) (2013)
Costas Panagiotakis, Harris Papadakis, Elias Grinias, Nikos Komodakis, Paraskevi Fragopoulou, Georgios Tziritas
Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling. CAIP (1) (2013)
Costas Panagiotakis, Harris Papadakis, Ilias Grinias, Nikos Komodakis, Paraskevi Fragopoulou, Georgios Tziritas
Interactive image segmentation based on synthetic graph coordinates. Pattern Recognit. 46 (11) (2013)
Chaohui Wang, Nikos Komodakis, Nikos Paragios
Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey. Comput. Vis. Image Underst. 117 (11) (2013)
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
A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. CVPR (2013)
Nikos Komodakis, Nikos Paragios
MRF-Based Blind Image Deconvolution. ACCV (3) (2012)
Nikos Komodakis, Nikos Paragios, Georgios Tziritas
MRF Energy Minimization and Beyond via Dual Decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 33 (3) (2011)
Nikos Komodakis, Georg Langs, Horst Bischof, Nikos Paragios
Special issue on Optimization for vision, graphics and medical imaging: Theory and applications. Comput. Vis. Image Underst. 115 (12) (2011)
Nikos Komodakis
Learning to cluster using high order graphical models with latent variables. ICCV (2011)
Nikos Komodakis
Efficient training for pairwise or higher order CRFs via dual decomposition. CVPR (2011)
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Groher, Nikos Komodakis, Ali Kamen, Nikos Paragios, Nassir Navab
Linear intensity-based image registration by Markov random fields and discrete optimization. Medical Image Anal. 14 (4) (2010)
Aristeidis Sotiras, Radhouène Neji, Jean-François Deux, Nikos Komodakis, Gilles Fleury, Nikos Paragios
A kernel-based graphical model for diffusion tensor registration. ISBI (2010)
Darko Zikic, Ben Glocker, Oliver Kutter, Martin Groher, Nikos Komodakis, Ali Khamene, Nikos Paragios, Nassir Navab
Markov random field optimization for intensity-based 2D-3D registration. Medical Imaging: Image Processing (2010)
Nikos Komodakis
Towards More Efficient and Effective LP-Based Algorithms for MRF Optimization. ECCV (2) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Nikos Komodakis