Nikos Komodakis

25 papers · 2008–2026 · 7 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (48) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🤝 Dynamic Duo (14) 🏆 Keyword Champion 🧭 Keyword Pioneer 🌈 Renaissance Researcher (5) 🔥 Unstoppable · Bronze ❓ The Questioner 🚀 Conference Pioneer 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (112)

Venues

CVPR (14) ICCV (4) ECCV (2) NeurIPS (2) ICLR (1) ICML (1) MICCAI (1)

Top co-authors

Spyros Gidaris (14) Patrick Pérez (4) Nikos Paragios (4) Matthieu Cord (4) Ioannis Kakogeorgiou (4) Andrei Bursuc (4) Bill Psomas (2) Konstantinos Karantzalos (2) Diego Marcos (1) Quentin Spinat (1)

Research topics

Machine Learning (17) Deep Learning (15) Computer Vision (14) Core Methods (11) Analysis (9) Architectures (8) Learning Types · Machine Learning (8) Learning Types · Deep Learning (6) Processing (6) Core AI (4) Artificial Intelligence (3) Optimization & Theory (3) Mathematics & Optimization (2) Domain-Specific (2) Learning Paradigms (2)

Keywords

representation learning (6) convolutional neural network (4) self-supervised learning (4) image classification (4) few-shot learning (4) semantic segmentation (3) object detection (3) feature learning (2) computer vision (2) transfer learning (2) graph neural network (2) markov random field (2) bounding box (2) similarity learning (1) disparity estimation (1) structured prediction (1) image segmentation (1) attention mechanism (1) feature extraction (1) medical imaging (1)

Papers

Retrieve and Segment: Are a Few Examples Enough to Bridge the Supervision Gap in Open-Vocabulary Segmentation? CVPR 2026 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 SPOT: Self-Training with Patch-Order Permutation for Object-Centric Learning with Autoregressive Transformers CVPR 2024 ToNNO: Tomographic Reconstruction of a Neural Network's Output for Weakly Supervised Segmentation of 3D Medical Images 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 Learning Representations by Predicting Bags of Visual Words CVPR 2020 QuEST: Quantized Embedding Space for Transferring Knowledge ECCV 2020 Boosting Few-Shot Visual Learning With Self-Supervision ICCV 2019 Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning CVPR 2019 Dynamic Few-Shot Visual Learning Without Forgetting CVPR 2018 Unsupervised Representation Learning by Predicting Image Rotations ICLR 2018 Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling CVPR 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 Rotation Equivariant Vector Field Networks ICCV 2017 LocNet: Improving Localization Accuracy for Object Detection CVPR 2016 HARF: Hierarchy-Associated Rich Features for Salient Object Detection ICCV 2015 Learning to Compare Image Patches via Convolutional Neural Networks CVPR 2015 Object Detection via a Multi-Region and Semantic Segmentation-Aware CNN Model ICCV 2015 Inference by Learning: Speeding-up Graphical Model Optimization via a Coarse-to-Fine Cascade of Pruning Classifiers NeurIPS 2014 Learning to Detect Ground Control Points for Improving the Accuracy of Stereo Matching CVPR 2014 Clustering via LP-based Stabilities NeurIPS 2008