← Authors

Nikos Komodakis

24 papers · 2008–2025 · 7 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (17) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (45) πŸŒ‰ Interdisciplinary Bridge 🀝 Dynamic Duo (14) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (100) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (9) πŸ’Ž Century Club (24)

Conferences

CVPR (13) ICCV (4) ECCV (2) NIPS (2) ICLR (1) ICML (1) MICCAI (1)

Top co-authors

Spyros Gidaris (14) Patrick PΓ©rez (4) Matthieu Cord (4) Ioannis Kakogeorgiou (4) Andrei Bursuc (4) Nikos Paragios (4) Konstantinos Karantzalos (2) Hariprasad Kannan (1) Diego Marcos (1) Bill Psomas (1)

Keywords

representation learning (5) image classification (3) convolutional neural network (3) semantic segmentation (3) few-shot learning (3) self-supervised learning (3) object detection (3) markov random field (2) bounding box (2) graph neural network (2) similarity learning (1) disparity estimation (1) structured prediction (1) graph classification (1) feature learning (1) computer vision (1) weakly supervised learning (1) feature extraction (1) attention mechanism (1) medical imaging (1)

Papers

Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers CVPR 2025
Diffusing Boundaries: CBCT-to-CT Translation with Extended Field of View MICCAI 2025
EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling ICML 2025
ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images CVPR 2024
SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers CVPR 2024
What to Hide from Your Students: Attention-Guided Masked Image Modeling ECCV 2022
OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning CVPR 2021
QuEST: Quantized Embedding Space for Transferring Knowledge ECCV 2020
Learning Representations by Predicting Bags of Visual Words CVPR 2020
Boosting Few-Shot Visual Learning With Self-Supervision ICCV 2019
Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning CVPR 2019
Unsupervised Representation Learning by Predicting Image Rotations ICLR 2018
Dynamic Few-Shot Visual Learning Without Forgetting CVPR 2018
Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling CVPR 2017
Rotation Equivariant Vector Field Networks ICCV 2017
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs CVPR 2017
Newton-Type Methods for Inference in Higher-Order Markov Random Fields CVPR 2017
LocNet: Improving Localization Accuracy for Object Detection CVPR 2016
Object Detection via a Multi-Region and Semantic Segmentation-Aware CNN Model ICCV 2015
HARF: Hierarchy-Associated Rich Features for Salient Object Detection ICCV 2015
Learning to Compare Image Patches via Convolutional Neural Networks CVPR 2015
Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers NIPS 2014
Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching CVPR 2014
Clustering via LP-based Stabilities NIPS 2008