Komodakis, Nikos

40 publications

CVPR 2025 Advancing Semantic Future Prediction Through Multimodal Visual Sequence Transformers Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, Nikos Komodakis

NeurIPS 2025 Boosting Generative Image Modeling via Joint Image-Feature Synthesis Theodoros Kouzelis, Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, Nikos Komodakis

NeurIPS 2025 DINO-Foresight: Looking into the Future with DINO Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, Nikos Komodakis

ICML 2025 EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling Theodoros Kouzelis, Ioannis Kakogeorgiou, Spyros Gidaris, Nikos Komodakis

NeurIPS 2025 Multi-Token Prediction Needs Registers Anastasios Gerontopoulos, Spyros Gidaris, Nikos Komodakis

NeurIPS 2025 ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization Dmitriy Shopkhoev, Ammar Ali, Magauiya Zhussip, Valentin Malykh, Stamatios Lefkimmiatis, Nikos Komodakis, Sergey Zagoruyko

TMLR 2024 MOCA: Self-Supervised Representation Learning by Predicting Masked Online Codebook Assignments Spyros Gidaris, Andrei Bursuc, Oriane Siméoni, Antonín Vobecký, Nikos Komodakis, Matthieu Cord, Patrick Perez

CVPR 2024 SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers Ioannis Kakogeorgiou, Spyros Gidaris, Konstantinos Karantzalos, Nikos Komodakis

CVPR 2024 ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Belachew, Nikos Komodakis, Nikos Paragios

ECCV 2022 What to Hide from Your Students: Attention-Guided Masked Image Modeling Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, Nikos Komodakis

CVPR 2021 OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Perez

ECCV 2020 QuEST: Quantized Embedding Space for Transferring Knowledge Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, Matthieu Cord

ICLR 2018 Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris, Praveer Singh, Nikos Komodakis

CVPR 2017 Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling Spyros Gidaris, Nikos Komodakis

CVPR 2017 Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs Martin Simonovsky, Nikos Komodakis

CVPR 2017 Newton-Type Methods for Inference in Higher-Order Markov Random Fields Hariprasad Kannan, Nikos Komodakis, Nikos Paragios

WACV 2017 Patchwork Stereo: Scalable, Structure-Aware 3D Reconstruction in Man-Made Environments Amine Bourki, Martin de La Gorce, Renaud Marlet, Nikos Komodakis

ICLR 2017 Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer Sergey Zagoruyko, Nikos Komodakis

ICCV 2017 Rotation Equivariant Vector Field Networks Diego Marcos, Michele Volpi, Nikos Komodakis, Devis Tuia

CVPR 2016 LocNet: Improving Localization Accuracy for Object Detection Spyros Gidaris, Nikos Komodakis

ICCV 2015 HARF: Hierarchy-Associated Rich Features for Salient Object Detection Wenbin Zou, Nikos Komodakis

CVPR 2015 Learning to Compare Image Patches via Convolutional Neural Networks Sergey Zagoruyko, Nikos Komodakis

ICCV 2015 Object Detection via a Multi-Region and Semantic Segmentation-Aware CNN Model Spyros Gidaris, Nikos Komodakis

CVPRW 2015 Simultaneous Registration and Change Detection in Multitemporal, Very High Resolution Remote Sensing Data Maria Vakalopoulou, Konstantinos Karantzalos, Nikos Komodakis, Nikos Paragios

ECCV 2014 A MAP-Estimation Framework for Blind Deblurring Using High-Level Edge Priors Yipin Zhou, Nikos Komodakis

NeurIPS 2014 Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers Bruno Conejo, Nikos Komodakis, Sebastien Leprince, Jean Philippe Avouac

CVPR 2014 Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching Aristotle Spyropoulos, Nikos Komodakis, Philippos Mordohai

CVPR 2011 Efficient Training for Pairwise or Higher Order CRFs via Dual Decomposition Nikos Komodakis

ICCV 2011 Learning to Cluster Using High Order Graphical Models with Latent Variables Nikos Komodakis

ECCV 2010 Towards More Efficient and Effective LP-Based Algorithms for MRF Optimization Nikos Komodakis

CVPR 2009 Beyond Pairwise Energies: Efficient Optimization for Higher-Order MRFs Nikos Komodakis, Nikos Paragios

CVPR 2009 Discrete Tracking of Parametrized Curves Tim Hauke Heibel, Ben Glocker, Martin Groher, Nikos Paragios, Nikos Komodakis, Nassir Navab

CVPR 2009 Shape Priors and Discrete MRFs for Knowledge-Based Segmentation Ahmed Besbes, Nikos Komodakis, Georg Langs, Nikos Paragios

ECCV 2008 Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles Nikos Komodakis, Nikos Paragios

NeurIPS 2008 Clustering via LP-Based Stabilities Nikos Komodakis, Nikos Paragios, Georgios Tziritas

CVPR 2008 Optical Flow Estimation with Uncertainties Through Dynamic MRFs Ben Glocker, Nikos Paragios, Nikos Komodakis, Georgios Tziritas, Nassir Navab

CVPR 2007 Fast, Approximately Optimal Solutions for Single and Dynamic MRFs Nikos Komodakis, Georgios Tziritas, Nikos Paragios

ICCV 2007 MRF Optimization via Dual Decomposition: Message-Passing Revisited Nikos Komodakis, Nikos Paragios, Georgios Tziritas

CVPR 2006 Image Completion Using Global Optimization Nikos Komodakis

ICCV 2005 A New Framework for Approximate Labeling via Graph Cuts Nikos Komodakis, Georgios Tziritas