Nikos Komodakis

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All published works

Action	Title	Year	Authors
+ PDF Chat	Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers	2025	Efstathios Karypidis Ioannis Kakogeorgiou Spyros Gidaris Nikos Komodakis
+ PDF Chat	DINO-Foresight Looking into the Future with DINO	2024	Efstathios Karypidis Ioannis Kakogeorgiou Spyros Gidaris Nikos Komodakis
+ PDF Chat	ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images	2024	Marius Schmidt-Mengin Alexis Benichoux Shibeshih Belachew Nikos Komodakis Nikos Paragios
+	MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments	2023	Spyros Gidaris Andrei Bursuc Oriane Siméoni Antonín Vobecký Nikos Komodakis Matthieu Cord Patrick Pérez
+	SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers	2023	Ioannis Kakogeorgiou Spyros Gidaris Κωνσταντίνος Καράντζαλος Nikos Komodakis
+	What to Hide from Your Students: Attention-Guided Masked Image Modeling	2022	Ioannis Kakogeorgiou Spyros Gidaris Bill Psomas Yannis Avrithis Andrei Bursuc Κωνσταντίνος Καράντζαλος Nikos Komodakis
+ PDF Chat	What to Hide from Your Students: Attention-Guided Masked Image Modeling	2022	Ioannis Kakogeorgiou Spyros Gidaris Bill Psomas Yannis Avrithis Andrei Bursuc Κωνσταντίνος Καράντζαλος Nikos Komodakis
+	OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning.	2021	Spyros Gidaris Andrei Bursuc Gilles Puy Nikos Komodakis Matthieu Cord Patrick Pérez
+ PDF Chat	OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning	2021	Spyros Gidaris Andrei Bursuc Gilles Puy Nikos Komodakis Matthieu Cord Patrick Pérez
+	Online Bag-of-Visual-Words Generation for Unsupervised Representation Learning	2020	Spyros Gidaris Andrei Bursuc Gilles Puy Nikos Komodakis Matthieu Cord Patrick Pérez
+ PDF Chat	Learning Representations by Predicting Bags of Visual Words	2020	Spyros Gidaris Andrei Bursuc Nikos Komodakis Patrick Pérez Matthieu Cord
+	Learning Representations by Predicting Bags of Visual Words	2020	Spyros Gidaris Andrei Bursuc Nikos Komodakis Patrick Pérez Matthieu Cord
+ PDF Chat	QuEST: Quantized Embedding Space for Transferring Knowledge	2020	Himalaya Jain Spyros Gidaris Nikos Komodakis Patrick Pérez Matthieu Cord
+	OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning	2020	Spyros Gidaris Andrei Bursuc Gilles Puy Nikos Komodakis Matthieu Cord Patrick Pérez
+	Learning Representations by Predicting Bags of Visual Words	2020	Spyros Gidaris Andrei Bursuc Nikos Komodakis Patrick Pérez Matthieu Cord
+	QUEST: Quantized embedding space for transferring knowledge	2019	Himalaya Jain Spyros Gidaris Nikos Komodakis Patrick Pérez Matthieu Cord
+ PDF Chat	Boosting Few-Shot Visual Learning With Self-Supervision	2019	Spyros Gidaris Andrei Bursuc Nikos Komodakis Patrick Perez Perez Matthieu Cord
+ PDF Chat	Deep Tone Mapping Operator for High Dynamic Range Images	2019	Aakanksha Rana Praveer Singh Giuseppe Valenzise Frédéric Dufaux Nikos Komodakis Aljoša Smolić
+ PDF Chat	Exploring weight symmetry in deep neural networks	2019	Shell Xu Hu Sergey Zagoruyko Nikos Komodakis
+ PDF Chat	Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning	2019	Spyros Gidaris Nikos Komodakis
+	Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning	2019	Spyros Gidaris Nikos Komodakis
+	QUEST: Quantized embedding space for transferring knowledge	2019	Himalaya Jain Spyros Gidaris Nikos Komodakis Patrick Pérez Matthieu Cord
+	Boosting Few-Shot Visual Learning with Self-Supervision	2019	Spyros Gidaris Andrei Bursuc Nikos Komodakis Patrick Pérez Matthieu Cord
+	Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning	2019	Spyros Gidaris Nikos Komodakis
+	Exploring Weight Symmetry in Deep Neural Networks.	2018	Xu Shell Hu Sergey Zagoruyko Nikos Komodakis
+ PDF Chat	Scattering Networks for Hybrid Representation Learning	2018	Edouard Oyallon Sergey Zagoruyko Gabriel Huang Nikos Komodakis Simon Lacoste-Julien Matthew B. Blaschko Eugene Belilovsky
+ PDF Chat	Dynamic Few-Shot Visual Learning Without Forgetting	2018	Spyros Gidaris Nikos Komodakis
+	Dynamic Few-Shot Visual Learning without Forgetting	2018	Spyros Gidaris Nikos Komodakis
+	Unsupervised Representation Learning by Predicting Image Rotations	2018	Spyros Gidaris Praveer Singh Nikos Komodakis
+	Exploring Weight Symmetry in Deep Neural Networks	2018	Xu Shell Hu Sergey Zagoruyko Nikos Komodakis
+ PDF Chat	GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders	2018	Martin Simonovsky Nikos Komodakis
+	Dynamic Few-Shot Visual Learning without Forgetting	2018	Spyros Gidaris Nikos Komodakis
+ PDF Chat	Rotation Equivariant Vector Field Networks	2017	Diego Marcos Michele Volpi Nikos Komodakis Devis Tuia
+ PDF Chat	Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling	2017	Spyros Gidaris Nikos Komodakis
+ PDF Chat	Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs	2017	Martin Simonovsky Nikos Komodakis
+ PDF Chat	Newton-Type Methods for Inference in Higher-Order Markov Random Fields	2017	Hariprasad Kannan Nikos Komodakis Nikos Paragios
+	Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs	2017	Martin Simonovsky Nikos Komodakis
+	DiracNets: Training Very Deep Neural Networks Without Skip-Connections	2017	Sergey Zagoruyko Nikos Komodakis
+	Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs	2017	Martin Simonovsky Nikos Komodakis
+	A Deep Metric for Multimodal Registration	2016	Martin Simonovsky Benjamín Gutiérrez-Becker Diana Mateus Nassir Navab Nikos Komodakis
+	Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization	2016	Spyros Gidaris Nikos Komodakis
+ PDF Chat	LocNet: Improving Localization Accuracy for Object Detection	2016	Spyros Gidaris Nikos Komodakis
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis
+ PDF Chat	A Deep Metric for Multimodal Registration	2016	Martin Simonovsky Benjamín Gutiérrez-Becker Diana Mateus Nassir Navab Nikos Komodakis
+	Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer	2016	Sergey Zagoruyko Nikos Komodakis
+	OnionNet: Sharing Features in Cascaded Deep Classifiers	2016	Martin Simonovsky Nikos Komodakis
+	Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization	2016	Nikos Komodakis Spyros Gidaris
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis
+	Detect, Replace, Refine: Deep Structured Prediction For Pixel Wise Labeling	2016	Spyros Gidaris Nikos Komodakis
+	Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization	2016	Spyros Gidaris Nikos Komodakis
+	A Deep Metric for Multimodal Registration	2016	Martin Simonovsky Benjamín Gutiérrez-Becker Diana Mateus Nassir Navab Nikos Komodakis
+ PDF Chat	Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model	2015	Spyros Gidaris Nikos Komodakis
+ PDF Chat	Playing with Duality: An overview of recent primal?dual approaches for solving large-scale optimization problems	2015	Nikos Komodakis Jean‐Christophe Pesquet
+ PDF Chat	Learning to compare image patches via convolutional neural networks	2015	Sergey Zagoruyko Nikos Komodakis
+	Object detection via a multi-region & semantic segmentation-aware CNN model	2015	Spyros Gidaris Nikos Komodakis
+	Learning to Compare Image Patches via Convolutional Neural Networks	2015	Sergey Zagoruyko Nikos Komodakis
+ PDF Chat	A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems	2015	Jörg Hendrik Kappes Bjoern Andres Fred A. Hamprecht Christoph Schnörr Sebastian Nowozin Dhruv Batra Sungwoong Kim Bernhard X. Kausler Thorben Kröger Jan Lellmann
+ PDF Chat	Playing with Duality: An overview of recent primal-dual approaches for solving large-scale optimization problems	2015	Nikos Komodakis Jean‐Christophe Pesquet
+	Learning to Compare Image Patches via Convolutional Neural Networks	2015	Sergey Zagoruyko Nikos Komodakis
+	Speeding-up Graphical Model Optimization via a Coarse-to-fine Cascade of Pruning Classifiers	2014	Bruno Conejo Nikos Komodakis Sébastien Leprince Jean‐Philippe Avouac
+	A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems	2014	Jörg Hendrik Kappes Bjoern Andres Fred A. Hamprecht Christoph Schnörr Sebastian Nowozin Dhruv Batra Sungwoong Kim Bernhard X. Kausler Thorben Kröger Jan Lellmann
+	Playing with Duality: An Overview of Recent Primal-Dual Approaches for Solving Large-Scale Optimization Problems	2014	Nikos Komodakis Jean‐Christophe Pesquet
+ PDF Chat	Towards More Efficient and Effective LP-Based Algorithms for MRF Optimization	2010	Nikos Komodakis
+ PDF Chat	Graphical Models and Deformable Diffeomorphic Population Registration Using Global and Local Metrics	2009	Aristeidis Sotiras Nikos Komodakis Ben Glocker Jean‐François Deux Nikos Paragios
+	Diffusion Tensor Registration Using Probability Kernels and Discrete Optimization	2009	Aristeidis Sotiras Radhouène Neji Jean‐François Deux Nikos Komodakis Mézri Maatouk Alain Rahmouni Guillaume Bassez G. Fleury Nikolaos Paragios
+	Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies	2008	Nikos Komodakis Georgios Tziritas Nikos Paragios
+ PDF Chat	A new framework for approximate labeling via graph cuts	2005	Nikos Komodakis Georgios Tziritas

Common Coauthors

Coauthor	Papers Together
Spyros Gidaris	33
Matthieu Cord	13
Andrei Bursuc	12
Sergey Zagoruyko	11
Patrick Pérez	11
Martin Simonovsky	8
Ioannis Kakogeorgiou	5
Gilles Puy	4
Nikos Paragios	4
Nassir Navab	3
Himalaya Jain	3
Benjamín Gutiérrez-Becker	3
Jean‐Christophe Pesquet	3
Κωνσταντίνος Καράντζαλος	3
Diana Mateus	3
Jan Lellmann	2
Aristeidis Sotiras	2
Jörg Hendrik Kappes	2
Dhruv Batra	2
Jean‐François Deux	2
Fred A. Hamprecht	2
Bogdan Savchynskyy	2
Sebastian Nowozin	2
Yannis Avrithis	2
Thorben Kröger	2
Praveer Singh	2
Bernhard X. Kausler	2
Georgios Tziritas	2
Bjoern Andres	2
Sungwoong Kim	2
Christoph Schnörr	2
Bill Psomas	2
Efstathios Karypidis	2
Carsten Rother	2
Xu Shell Hu	2
Eugene Belilovsky	1
Aakanksha Rana	1
Hariprasad Kannan	1
Patrick Perez Perez	1
Aljoša Smolić	1
Antonín Vobecký	1
Diego Marcos	1
Mezri Maâtouk	1
Gilles Fleury	1
Ben Glocker	1
Matthew B. Blaschko	1
Marius Schmidt-Mengin	1
Jean‐Philippe Avouac	1
Oriane Siméoni	1
Edouard Oyallon	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	19
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	15
+ PDF Chat	ImageNet Large Scale Visual Recognition Challenge	2015	Olga Russakovsky Jia Deng Hao Su Jonathan Krause Sanjeev Satheesh Sean Ma Zhiheng Huang Andrej Karpathy Aditya Khosla Michael S. Bernstein	12
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	12
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	11
+	Wide Residual Networks	2016	Sergey Zagoruyko Nikos Komodakis	9
+ PDF Chat	Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles	2016	Mehdi Noroozi Paolo Favaro	8
+ PDF Chat	Unsupervised Visual Representation Learning by Context Prediction	2015	Carl Doersch Abhinav Gupta Alexei A. Efros	8
+	Prototypical Networks for Few-shot Learning	2017	Jake Snell Kevin Swersky Richard S. Zemel	7
+ PDF Chat	Dynamic Few-Shot Visual Learning Without Forgetting	2018	Spyros Gidaris Nikos Komodakis	7
+	Matching networks for one shot learning	2016	Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra	7
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	7
+ PDF Chat	Unsupervised Monocular Depth Estimation with Left-Right Consistency	2017	Clément Godard Oisin Mac Aodha Gabriel Brostow	6
+	Representation Learning with Contrastive Predictive Coding	2018	Aäron van den Oord Yazhe Li Oriol Vinyals	6
+ PDF Chat	Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification	2016	Ishan Misra C. Lawrence Zitnick Martial Hebert	6
+ PDF Chat	Learning Representations for Automatic Colorization	2016	Gustav Larsson Michael Maire Gregory Shakhnarovich	6
+ PDF Chat	Context Encoders: Feature Learning by Inpainting	2016	Deepak Pathak Philipp Krähenbühl Jeff Donahue Trevor Darrell Alexei A. Efros	6
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	6
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	6
+ PDF Chat	Unsupervised Representation Learning by Sorting Sequences	2017	Hsin-Ying Lee Jia‐Bin Huang Maneesh Singh Ming–Hsuan Yang	6
+ PDF Chat	Learning Representations by Predicting Bags of Visual Words	2020	Spyros Gidaris Andrei Bursuc Nikos Komodakis Patrick Pérez Matthieu Cord	5
+ PDF Chat	Deep Clustering for Unsupervised Learning of Visual Features	2018	Mathilde Caron Piotr Bojanowski Armand Joulin Matthijs Douze	5
+	Selfie: Self-supervised Pretraining for Image Embedding	2019	Trieu H. Trinh Minh-Thang Luong Quoc V. Le	5
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	5
+ PDF Chat	Few-Shot Image Recognition by Predicting Parameters from Activations	2018	Siyuan Qiao Chenxi Liu Wei Shen Alan Yuille	5
+ PDF Chat	The Visual Centrifuge: Model-Free Layered Video Representations	2019	Jean-Baptiste Alayrac João Carreira Andrew Zisserman	5
+	Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks	2017	Chelsea Finn Pieter Abbeel Sergey Levine	5
+	Learning to learn by gradient descent by gradient descent	2016	Marcin Andrychowicz Misha Denil Sergio Luis Suárez Gómez Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas	5
+	Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition	2014	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+ PDF Chat	Unsupervised Pre-Training of Image Features on Non-Curated Data	2019	Mathilde Caron Piotr Bojanowski Julien Mairal Armand Joulin	5
+	Discriminative Unsupervised Feature Learning with Convolutional Neural Networks	2014	Alexey Dosovitskiy Jost Tobias Springenberg Martin Riedmiller Thomas Brox	5
+ PDF Chat	Tracking Emerges by Colorizing Videos	2018	Carl Vondrick Abhinav Shrivastava Alireza Fathi Sergio Guadarrama Kevin Murphy	5
+	Neural Discrete Representation Learning	2017	Aäron van den Oord Oriol Vinyals Koray Kavukcuoglu	5
+	Generating Diverse High-Fidelity Images with VQ-VAE-2	2019	Ali Razavi Aäron van den Oord Oriol Vinyals	4
+ PDF Chat	Self-Supervised Learning of Pretext-Invariant Representations	2020	Ishan Misra Laurens van der Maaten	4
+	Performance vs computational efficiency for optimizing single and dynamic MRFs: Setting the state of the art with primal-dual strategies	2008	Nikos Komodakis Georgios Tziritas Nikos Paragios	4
+ PDF Chat	Low-Shot Learning with Imprinted Weights	2018	H. Jerry Qi Matthew A. Brown David Lowe	4
+	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	4
+ PDF Chat	SuperDepth: Self-Supervised, Super-Resolved Monocular Depth Estimation	2019	Sudeep Pillai Rareș Ambruș Adrien Gaidon	4
+	OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks	2014	Pierre Sermanet David Eigen Xiang Zhang Michaël Mathieu Rob Fergus Yann LeCun	4
+ PDF Chat	Unsupervised Learning of Depth and Ego-Motion from Video	2017	Tinghui Zhou Matthew Brown Noah Snavely David Lowe	4
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	4
+ PDF Chat	Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction	2017	Richard Zhang Phillip Isola Alexei A. Efros	4
+	MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	2017	Andrew Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand Marco Andreetto Hartwig Adam	4
+ PDF Chat	ActionVLAD: Learning Spatio-Temporal Aggregation for Action Classification	2017	Rohit Girdhar Deva Ramanan Abhinav Gupta Josef Šivic Bryan Russell	4
+ PDF Chat	Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks	2015	Alexey Dosovitskiy Philipp Fischer Jost Tobias Springenberg Martin Riedmiller Thomas Brox	4
+ PDF Chat	Low-Shot Visual Recognition by Shrinking and Hallucinating Features	2017	Bharath Hariharan Ross Girshick	4
+ PDF Chat	NetVLAD: CNN Architecture for Weakly Supervised Place Recognition	2017	Relja Arandjelović Petr Gronát Akihiko Torii Tomáš Pajdla Josef Šivic	4
+	Fast R-CNN	2015	Ross Girshick	4
+ PDF Chat	Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks	2016	Shaoqing Ren Kaiming He Ross Girshick Jian Sun	4