Interactive Walkthroughs using "Morphable 3D-Mosaics". - Nikos Komodakis; George Pagonis; George Tziritas (3DPVT, 2004)

A New Framework for Approximate Labeling via Graph Cuts. - Nikos Komodakis; Georgios Tziritas (ICCV, 2005)

3D visual reconstruction of large scale natural sites and their fauna. - Nikos Komodakis; Costas Panagiotakis; George Tziritas (Signal Process. Image Commun., 2005)

Image Completion Using Global Optimization. - Nikos Komodakis (CVPR (1), 2006)

Optimization algorithms for discrete markov random fields with applications to computer vision - Nikos Komodakis (2006)

Fast, Approximately Optimal Solutions for Single and Dynamic MRFs. - Nikos Komodakis; Georgios Tziritas; Nikos Paragios (CVPR, 2007)

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

Inter and Intra-modal Deformable Registration: Continuous Deformations Meet Efficient Optimal Linear Programming. - Ben Glocker; Nikos Komodakis; Nikos Paragios; Georgios Tziritas; Nassir Navab (IPMI, 2007)

4D Ventricular Segmentation and Wall Motion Estimation Using Efficient Discrete Optimization. - Ahmed Besbes; Nikos Komodakis; Ben Glocker; Georgios Tziritas; Nikos Paragios (ISVC (1), 2007)

Expression Mimicking : From 2D Monocular Sequences to 3D Animations. - Charlotte Ghys; Maxime Taron; Nikos Paragios; Nikos Komodakis; Benedicte Bascle (ISVC (2), 2007)

Primal/Dual Linear Programming and Statistical Atlases for Cartilage Segmentation. - Ben Glocker; Nikos Komodakis; Nikos Paragios; Christian Glaser; Georgios Tziritas; Nassir Navab (MICCAI (2), 2007)

Bayesian Region Growing and MRF-based Minimization for Texture and Colour Segmentation. - Ilias Grinias; Nikos Komodakis; Georgios Tziritas (WIAMIS, 2007)

Approximate Labeling via Graph Cuts Based on Linear Programming. - Nikos Komodakis; Georgios Tziritas (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Image Completion Using Efficient Belief Propagation Via Priority Scheduling and Dynamic Pruning. - Nikos Komodakis; Georgios Tziritas (IEEE Trans. Image Process., 2007)

Commentary Paper on "Textural Segmentation of Sidescan Sonar Images Based on Gabor Filters Bank and Active Contours without Edges". - Nikos Komodakis; George Bebis (AVSS, 2008)

Effiziente nichtlineare Registrierung mittels diskreter Optimierung. - Ben Glocker; Nikos Komodakis; Nikos Paragios; Georgios Tziritas; Nassir Navab (Bildverarbeitung für die Medizin, 2008)

Optical flow estimation with uncertainties through dynamic MRFs. - Ben Glocker; Nikos Paragios; Nikos Komodakis; Georgios Tziritas; Nassir Navab (CVPR, 2008)

Beyond Loose LP-Relaxations: Optimizing MRFs by Repairing Cycles. - Nikos Komodakis; Nikos Paragios (ECCV (3), 2008)

Knee reconstruction through efficient linear programming. - Mihai Sardarescu; Nikos Paragios; Nikos Komodakis; Rémy Raymond; Phillipe Hernigou; Alain Rahmouni (ISBI, 2008)

Deformable Mosaicing for Whole-Body MRI. - Christian Wachinger; Ben Glocker; Jochen Zeltner; Nikos Paragios; Nikos Komodakis; Michael Sass Hansen; Nassir Navab (MICCAI (2), 2008)

Clustering via LP-based Stabilities. - Nikos Komodakis; Nikos Paragios; Georgios Tziritas (NIPS, 2008)

Morphable 3D-Mosaics: A Hybrid Framework for Photorealistic Walkthroughs of Large Natural Environments. - Nikos Komodakis; Georgios Tziritas (Adv. Multim., 2008)

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 (Comput. Vis. Image Underst., 2008)

Dense image registration through MRFs and efficient linear programming. - Ben Glocker; Nikos Komodakis; Georgios Tziritas; Nassir Navab; Nikos Paragios (Medical Image Anal., 2008)

MRI Composing for Whole Body Imaging. - Ben Glocker; Christian Wachinger; Jochen Zeltner; Nikos Paragios; Nikos Komodakis; Michael Sass Hansen; Nassir Navab (Bildverarbeitung für die Medizin, 2009)

Shape priors and discrete MRFs for knowledge-based segmentation. - Ahmed Besbes; Nikos Komodakis; Georg Langs; Nikos Paragios (CVPR, 2009)

Discrete tracking of parametrized curves. - Tim Hauke Heibel; Ben Glocker; Martin Groher; Nikos Paragios; Nikos Komodakis; Nassir Navab (CVPR, 2009)

Beyond pairwise energies: Efficient optimization for higher-order MRFs. - Nikos Komodakis; Nikos Paragios (CVPR, 2009)

Dense Registration with Deformation Priors. - Ben Glocker; Nikos Komodakis; Nassir Navab; Georgios Tziritas; Nikos Paragios (IPMI, 2009)

Clustering of the Human Skeletal Muscle Fibers Using Linear Programming and Angular Hilbertian Metrics. - Radhouène Neji; Ahmed Besbes; Nikos Komodakis; Jean-François Deux; Mezri Maatouk; Alain Rahmouni; Guillaume Bassez; Gilles Fleury; Nikos Paragios (IPMI, 2009)

Graph-Based Knowledge-Driven Discrete Segmentation of the Left Ventricle. - Ahmed Besbes; Nikos Komodakis; Nikos Paragios (ISBI, 2009)

Linear Image Registration Through MRF Optimization. - Ben Glocker; Darko Zikic; Nikos Komodakis; Nikos Paragios; Nassir Navab (ISBI, 2009)

Atlas-Based Deformable Mutual Population Segmentation. - Aristeidis Sotiras; Nikos Komodakis; Georg Langs; Nikos Paragios (ISBI, 2009)

Approximated Curvature Penalty in Non-rigid Registration Using Pairwise MRFs. - Ben Glocker; Nikos Komodakis; Nikos Paragios; Nassir Navab (ISVC (1), 2009)

Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics. - Aristeidis Sotiras; Nikos Komodakis; Ben Glocker; Jean-François Deux; Nikos Paragios (MICCAI (1), 2009)

Real-time exploration and photorealistic reconstruction of large natural environments. - Nikos Komodakis; Georgios Tziritas (Vis. Comput., 2009)

Towards More Efficient and Effective LP-Based Algorithms for MRF Optimization. - Nikos Komodakis (ECCV (2), 2010)

Flooding and MRF-based Algorithms for Interactive Segmentation. - Ilias Grinias; Nikos Komodakis; Georgios Tziritas (ICPR, 2010)

A kernel-based graphical model for diffusion tensor registration. - Aristeidis Sotiras; Radhouène Neji; Jean-François Deux; Nikos Komodakis; Gilles Fleury; Nikos Paragios (ISBI, 2010)

Markov random field optimization for intensity-based 2D-3D registration. - Darko Zikic; Ben Glocker; Oliver Kutter; Martin Groher; Nikos Komodakis; Ali Khamene; Nikos Paragios; Nassir Navab (Image Processing, 2010)

Linear intensity-based image registration by Markov random fields and discrete optimization. - Darko Zikic; Ben Glocker; Oliver Kutter; Martin Groher; Nikos Komodakis; Ali Kamen; Nikos Paragios; Nassir Navab (Medical Image Anal., 2010)

Efficient training for pairwise or higher order CRFs via dual decomposition. - Nikos Komodakis (CVPR, 2011)

Learning to cluster using high order graphical models with latent variables. - Nikos Komodakis (ICCV, 2011)

Special issue on Optimization for vision, graphics and medical imaging: Theory and applications. - Nikos Komodakis; Georg Langs; Horst Bischof; Nikos Paragios (Comput. Vis. Image Underst., 2011)

MRF Energy Minimization and Beyond via Dual Decomposition. - Nikos Komodakis; Nikos Paragios; Georgios Tziritas (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

MRF-Based Blind Image Deconvolution. - Nikos Komodakis; Nikos Paragios (ACCV (3), 2012)

Graphical Model Inference and Learning for Visual Computing. - Nikos Komodakis (2013)

Interactive Image Segmentation via Graph Clustering and Synthetic Coordinates Modeling. - Costas Panagiotakis; Harris Papadakis; Elias Grinias; Nikos Komodakis; Paraskevi Fragopoulou; Georgios Tziritas (CAIP (1), 2013)

A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problems. - 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 (CVPR, 2013)

Pose Invariant Deformable Shape Priors Using L 1 Higher Order Sparse Graphs. - Bo Xiang; Nikos Komodakis; Nikos Paragios (ISVC (1), 2013)

Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey. - Chaohui Wang; Nikos Komodakis; Nikos Paragios (Comput. Vis. Image Underst., 2013)

Interactive image segmentation based on synthetic graph coordinates. - Costas Panagiotakis; Harris Papadakis; Ilias Grinias; Nikos Komodakis; Paraskevi Fragopoulou; Georgios Tziritas (Pattern Recognit., 2013)

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

A MAP-Estimation Framework for Blind Deblurring Using High-Level Edge Priors. - Yipin Zhou; Nikos Komodakis (ECCV (2), 2014)

Discrete Visual Perception. - Nikos Paragios; Nikos Komodakis (ICPR, 2014)

Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers. - Bruno Conejo; Nikos Komodakis; Sébastien Leprince; Jean-Philippe Avouac (NIPS, 2014)

Robotic intelligent vision and control for tunnel inspection and evaluation - The ROBINSPECT EC project. - 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; et al. (ROSE, 2014)

Speeding-up Graphical Model Optimization via a Coarse-to-fine Cascade of Pruning Classifiers. - Bruno Conejo; Nikos Komodakis; Sébastien Leprince; Jean-Philippe Avouac (CoRR, 2014)

Simultaneous registration and change detection in multitemporal, very high resolution remote sensing data. - Maria Vakalopoulou; Konstantinos Karantzalos; Nikos Komodakis; Nikos Paragios (CVPR Workshops, 2015)

Learning to compare image patches via convolutional neural networks. - Sergey Zagoruyko; Nikos Komodakis (CVPR, 2015)

Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model. - Spyros Gidaris; Nikos Komodakis (ICCV, 2015)

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

Building detection in very high resolution multispectral data with deep learning features. - Maria Vakalopoulou; Konstantinos Karantzalos; Nikos Komodakis; Nikos Paragios (IGARSS, 2015)

Object detection via a multi-region & semantic segmentation-aware CNN model. - Spyros Gidaris; Nikos Komodakis (CoRR, 2015)

A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems. - 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; et al. (Int. J. Comput. Vis., 2015)

A Framework for Efficient Structured Max-Margin Learning of High-Order MRF Models. - Nikos Komodakis; Bo Xiang; Nikos Paragios (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems. - Nikos Komodakis; Jean-Christophe Pesquet (IEEE Signal Process. Mag., 2015)

Unsupervised Joint Salient Region Detection and Object Segmentation. - Wenbin Zou; Zhi Liu 003; Kidiyo Kpalma; Joseph Ronsin; Yong Zhao 010; Nikos Komodakis (IEEE Trans. Image Process., 2015)

Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization. - Spyridon Gidaris; Nikos Komodakis (BMVC, 2016)

OnionNet: Sharing Features in Cascaded Deep Classifiers. - Martin Simonovsky; Nikos Komodakis (BMVC, 2016)

Wide Residual Networks. - Sergey Zagoruyko; Nikos Komodakis (BMVC, 2016)

LocNet: Improving Localization Accuracy for Object Detection. - Spyros Gidaris; Nikos Komodakis (CVPR, 2016)

A Deep Metric for Multimodal Registration. - Martin Simonovsky; Benjamín Gutiérrez-Becker; Diana Mateus; Nassir Navab; Nikos Komodakis (MICCAI (3), 2016)

Inference and Learning of Graphical Models: Theory and Applications in Computer Vision and Image Analysis. - Chaohui Wang; Nikos Komodakis; Hiroshi Ishikawa 002; Olga Veksler; Endre Boros (Comput. Vis. Image Underst., 2016)

(Hyper)-Graphs Inference through Convex Relaxations and Move Making Algorithms: Contributions and Applications in Artificial Vision. - Nikos Komodakis; M. Pawan Kumar; Nikos Paragios (Found. Trends Comput. Graph. Vis., 2016)

(Hyper)-graphical models in biomedical image analysis. - Nikos Paragios; Enzo Ferrante; Ben Glocker; Nikos Komodakis; Sarah Parisot; Evangelia I. Zacharaki (Medical Image Anal., 2016)

Graph-Based Registration, Change Detection, and Classification in Very High Resolution Multitemporal Remote Sensing Data. - Maria Vakalopoulou; Konstantinos Karantzalos; Nikos Komodakis; Nikos Paragios (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016)

Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling. - Spyros Gidaris; Nikos Komodakis (CVPR, 2017)

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

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

Rotation Equivariant Vector Field Networks. - Diego Marcos; Michele Volpi; Nikos Komodakis; Devis Tuia (ICCV, 2017)

Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer. - Sergey Zagoruyko; Nikos Komodakis (ICLR (Poster), 2017)

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

DiracNets: Training Very Deep Neural Networks Without Skip-Connections. - Sergey Zagoruyko; Nikos Komodakis (CoRR, 2017)

Deep compare: A study on using convolutional neural networks to compare image patches. - Sergey Zagoruyko; Nikos Komodakis (Comput. Vis. Image Underst., 2017)

Hierarchical Saliency Detection via Probabilistic Object Boundaries. - Haijun Lei; Hai Xie; Wenbin Zou; Xiaoli Sun; Kidiyo Kpalma; Nikos Komodakis (Int. J. Pattern Recognit. Artif. Intell., 2017)

A Robust and Efficient Approach to License Plate Detection. - Yule Yuan; Wenbin Zou; Yong Zhao 010; Xin'an Wang; Xuefeng Hu; Nikos Komodakis (IEEE Trans. Image Process., 2017)

Dynamic Few-Shot Visual Learning Without Forgetting. - Spyros Gidaris; Nikos Komodakis (CVPR, 2018)

GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders. - Martin Simonovsky; Nikos Komodakis (ICANN (1), 2018)

Unsupervised Representation Learning by Predicting Image Rotations. - Spyros Gidaris; Praveer Singh; Nikos Komodakis (ICLR (Poster), 2018)

Towards Variational Generation of Small Graphs. - Martin Simonovsky; Nikos Komodakis (ICLR (Workshop), 2018)

Effective Building Extraction by Learning to Detect and Correct Erroneous Labels in Segmentation Mask. - Praveer Singh; Nikos Komodakis (IGARSS, 2018)

Cloud-Gan: Cloud Removal for Sentinel-2 Imagery Using a Cyclic Consistent Generative Adversarial Networks. - Praveer Singh; Nikos Komodakis (IGARSS, 2018)

Exploring Weight Symmetry in Deep Neural Network. - Shell Xu Hu; Sergey Zagoruyko; Nikos Komodakis (CoRR, 2018)

Autonomous robotic system for tunnel structural inspection and assessment. - 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; et al. (Int. J. Intell. Robotics Appl., 2018)

Improving Recognition of Complex Aerial Scenes Using a Deep Weakly Supervised Learning Paradigm. - Praveer Singh; Nikos Komodakis (IEEE Geosci. Remote. Sens. Lett., 2018)

SCOM: Spatiotemporal Constrained Optimization for Salient Object Detection. - Yuhuan Chen; Wenbin Zou; Yi Tang 008; Xia Li 006; Chen Xu 004; Nikos Komodakis (IEEE Trans. Image Process., 2018)

Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning. - Spyros Gidaris; Nikos Komodakis (CVPR, 2019)

Boosting Few-Shot Visual Learning With Self-Supervision. - Spyros Gidaris; Andrei Bursuc; Nikos Komodakis; Patrick Pérez; Matthieu Cord (ICCV, 2019)

Exploring weight symmetry in deep neural networks. - Shell Xu Hu; Sergey Zagoruyko; Nikos Komodakis (Comput. Vis. Image Underst., 2019)

Scattering Networks for Hybrid Representation Learning. - Edouard Oyallon; Sergey Zagoruyko; Gabriel Huang; Nikos Komodakis; Simon Lacoste-Julien; Matthew B. Blaschko; Eugene Belilovsky (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Learning Representations by Predicting Bags of Visual Words. - Spyros Gidaris; Andrei Bursuc; Nikos Komodakis; Patrick Pérez; Matthieu Cord (CVPR, 2020)

QuEST: Quantized Embedding Space for Transferring Knowledge. - Himalaya Jain; Spyros Gidaris; Nikos Komodakis; Patrick Pérez; Matthieu Cord (ECCV (21), 2020)

Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning. - Spyros Gidaris; Andrei Bursuc; Gilles Puy; Nikos Komodakis; Matthieu Cord; Patrick Pérez (CoRR, 2020)

Deep Tone Mapping Operator for High Dynamic Range Images. - Aakanksha Rana; Praveer Singh; Giuseppe Valenzise; Frédéric Dufaux; Nikos Komodakis; Aljosa Smolic (IEEE Trans. Image Process., 2020)

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

MARE: Self-Supervised Multi-Attention REsu-Net for Semantic Segmentation in Remote Sensing. - Valerio Marsocci; Simone Scardapane; Nikos Komodakis (Remote. Sens., 2021)

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 (ECCV (30), 2022)

Self-supervised learning for medieval handwriting identification: A case study from the Vatican Apostolic Library. - Lorenzo Lastilla; Serena Ammirati; Donatella Firmani; Nikos Komodakis; Paolo Merialdo; Simone Scardapane (Inf. Process. Manag., 2022)

Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation. - Sonia Martinot; Nikos Komodakis; Maria Vakalopoulou; Norbert Bus; Charlotte Robert; Eric Deutsch; Nikos Paragios (IPMI, 2023)

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 Mitiku Belachew; Nikos Komodakis; Nikos Paragios (CVPR, 2024)

SFTC: Machine Unlearning via Selective Fine-tuning and Targeted Confusion. - Vasileios Perifanis; Efstathios Karypidis; Nikos Komodakis; Pavlos S. Efraimidis (EICC, 2024)

DINO-Foresight: Looking into the Future with DINO. - Efstathios Karypidis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis (CoRR, 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 Pérez (Trans. Mach. Learn. Res., 2024)

Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers. - Efstathios Karypidis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis (CVPR, 2025)

Deep learning detection of acute and sub-acute lesion activity from single-timepoint conventional brain MRI in multiple sclerosis. - Quentin Spinat; Benoît Audelan; Xiaotong Jiang; Bastien Caba; Alexis Benichoux; Despoina Ioannidou; Olivier Teboul; Nikos Komodakis; Willem Huijbers; Refaat Gabr; Arie Gafson; Colm Elliott; et al. (Medical Image Anal., 2025)

EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling. - Theodoros Kouzelis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis (CoRR, 2025)

Boosting Generative Image Modeling via Joint Image-Feature Synthesis. - Theodoros Kouzelis; Efstathios Karypidis; Ioannis Kakogeorgiou; Spyros Gidaris; Nikos Komodakis (CoRR, 2025)

ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations. - Dmitriy Shopkhoev; Ammar Ali; Magauiya Zhussip; Valentin Malykh; Stamatios Lefkimmiatis; Nikos Komodakis; Sergey Zagoruyko (CoRR, 2025)

Multi-Token Prediction Needs Registers. - Anastasios Gerontopoulos; Spyros Gidaris; Nikos Komodakis (CoRR, 2025)

Attention, Please! Revisiting Attentive Probing for Masked Image Modeling. - Bill Psomas; Dionysis Christopoulos; Eirini Baltzi; Ioannis Kakogeorgiou; Tilemachos Aravanis; Nikos Komodakis; Konstantinos Karantzalos; Yannis Avrithis; Giorgos Tolias (CoRR, 2025)