publications

2025

1. 

   Advancing semantic future prediction through multimodal visual sequence transformers

   Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, and Nikos Komodakis

   In IEEE Conference on Computer Vision and Pattern Recognition, 2025

   arXiv Bib Code

   @inproceedings{karypidis2025advancing,
     title = {Advancing semantic future prediction through multimodal visual sequence transformers},
     author = {Karypidis, Efstathios and Kakogeorgiou, Ioannis and Gidaris, Spyros and Komodakis, Nikos},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     year = {2025}
   }

2. 

   Eq-vae: Equivariance regularized latent space for improved generative image modeling

   Theodoros Kouzelis, Ioannis Kakogeorgiou, Spyros Gidaris, and Nikos Komodakis

   In International Conference on Machine Learning, 2025

   arXiv Bib Code

   @inproceedings{kouzelis2025eq,
     title = {Eq-vae: Equivariance regularized latent space for improved generative image modeling},
     author = {Kouzelis, Theodoros and Kakogeorgiou, Ioannis and Gidaris, Spyros and Komodakis, Nikos},
     booktitle = {International Conference on Machine Learning},
     year = {2025}
   }

3. 

   DINO-Foresight: Looking into the Future with DINO

   Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, and Nikos Komodakis

   In Advances in Neural Information Processing Systems, 2025

   arXiv Bib Code

   @inproceedings{karypidis2024dino,
     title = {DINO-Foresight: Looking into the Future with DINO},
     author = {Karypidis, Efstathios and Kakogeorgiou, Ioannis and Gidaris, Spyros and Komodakis, Nikos},
     booktitle = {Advances in Neural Information Processing Systems},
     year = {2025}
   }

4. 

   Boosting Generative Image Modeling via Joint Image-Feature Synthesis

   Theodoros Kouzelis, Efstathios Karypidis, Ioannis Kakogeorgiou, Spyros Gidaris, and Nikos Komodakis

   In Advances in Neural Information Processing Systems, 2025

   arXiv Bib Code

   @inproceedings{kouzelis2025boosting,
     title = {Boosting Generative Image Modeling via Joint Image-Feature Synthesis},
     author = {Kouzelis, Theodoros and Karypidis, Efstathios and Kakogeorgiou, Ioannis and Gidaris, Spyros and Komodakis, Nikos},
     booktitle = {Advances in Neural Information Processing Systems},
     year = {2025}
   }

5. 

   Multi-Token Prediction Needs Registers

   Anastasios Gerontopoulos, Spyros Gidaris, and Nikos Komodakis

   In Advances in Neural Information Processing Systems, 2025

   arXiv Bib Code

   @inproceedings{gerontopoulos2025multi,
     title = {Multi-Token Prediction Needs Registers},
     author = {Gerontopoulos, Anastasios and Gidaris, Spyros and Komodakis, Nikos},
     booktitle = {Advances in Neural Information Processing Systems},
     year = {2025}
   }

6. 

   DIP: Unsupervised Dense In-Context Post-training of Visual Representations

   Sophia Sirko-Galouchenko, Spyros Gidaris, Antonin Vobecky, Andrei Bursuc, and Nicolas Thome

   In International Conference on Computer Vision, 2025

   arXiv Bib Code

   @inproceedings{sirko2025dip,
     title = {DIP: Unsupervised Dense In-Context Post-training of Visual Representations},
     author = {Sirko-Galouchenko, Sophia and Gidaris, Spyros and Vobecky, Antonin and Bursuc, Andrei and Thome, Nicolas},
     booktitle = {International Conference on Computer Vision},
     year = {2025}
   }

7. 

   Franca: Nested matryoshka clustering for scalable visual representation learning

   Shashanka Venkataramanan, Valentinos Pariza, Mohammadreza Salehi, Lukas Knobel, Spyros Gidaris, Elias Ramzi, Andrei Bursuc, and Yuki M Asano

   arXiv preprint arXiv:2507.14137, 2025

   arXiv Bib Code

   @article{venkataramanan2025franca,
     title = {Franca: Nested matryoshka clustering for scalable visual representation learning},
     author = {Venkataramanan, Shashanka and Pariza, Valentinos and Salehi, Mohammadreza and Knobel, Lukas and Gidaris, Spyros and Ramzi, Elias and Bursuc, Andrei and Asano, Yuki M},
     journal = {arXiv preprint arXiv:2507.14137},
     year = {2025}
   }

2024

1. 

   Spot: Self-training with patch-order permutation for object-centric learning with autoregressive transformers

   Ioannis Kakogeorgiou, Spyros Gidaris, Konstantinos Karantzalos, and Nikos Komodakis

   In IEEE Conference on Computer Vision and Pattern Recognition, 2024

   arXiv Bib Code

   @inproceedings{kakogeorgiou2024spot,
     title = {Spot: Self-training with patch-order permutation for object-centric learning with autoregressive transformers},
     author = {Kakogeorgiou, Ioannis and Gidaris, Spyros and Karantzalos, Konstantinos and Komodakis, Nikos},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     year = {2024}
   }

2. 

   Three pillars improving vision foundation model distillation for lidar

   Gilles Puy, Spyros Gidaris, Alexandre Boulch, Oriane Siméoni, Corentin Sautier, Patrick Pérez, Andrei Bursuc, and Renaud Marlet

   In IEEE Conference on Computer Vision and Pattern Recognition, 2024

   arXiv Bib Code

   @inproceedings{puy2024three,
     title = {Three pillars improving vision foundation model distillation for lidar},
     author = {Puy, Gilles and Gidaris, Spyros and Boulch, Alexandre and Sim{\'e}oni, Oriane and Sautier, Corentin and P{\'e}rez, Patrick and Bursuc, Andrei and Marlet, Renaud},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     year = {2024}
   }

3. 

   Moca: Self-supervised representation learning by predicting masked online codebook assignments

   Spyros Gidaris, Andrei Bursuc, Oriane Simeoni, Antonı́n Vobeckỳ, Nikos Komodakis, Matthieu Cord, and Patrick Pérez

   Transactions on Machine Learning Research, 2024

   arXiv Bib Code

   @article{gidaris2024moca,
     title = {Moca: Self-supervised representation learning by predicting masked online codebook assignments},
     author = {Gidaris, Spyros and Bursuc, Andrei and Simeoni, Oriane and Vobeck{\`y}, Anton{\'\i}n and Komodakis, Nikos and Cord, Matthieu and P{\'e}rez, Patrick},
     journal = {Transactions on Machine Learning Research},
     year = {2024}
   }

2023

1. 

   Rangevit: Towards vision transformers for 3d semantic segmentation in autonomous driving

   Angelika Ando, Spyros Gidaris, Andrei Bursuc, Gilles Puy, Alexandre Boulch, and Renaud Marlet

   In IEEE Conference on Computer Vision and Pattern Recognition, 2023

   arXiv Bib Code

   @inproceedings{ando2023rangevit,
     title = {Rangevit: Towards vision transformers for 3d semantic segmentation in autonomous driving},
     author = {Ando, Angelika and Gidaris, Spyros and Bursuc, Andrei and Puy, Gilles and Boulch, Alexandre and Marlet, Renaud},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     year = {2023}
   }

2. 

   Pop-3d: Open-vocabulary 3d occupancy prediction from images

   Antonin Vobecky, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, and Josef Sivic

   Advances in Neural Information Processing Systems, 2023

   arXiv Bib Code

   @article{vobecky2023pop,
     title = {Pop-3d: Open-vocabulary 3d occupancy prediction from images},
     author = {Vobecky, Antonin and Sim{\'e}oni, Oriane and Hurych, David and Gidaris, Spyridon and Bursuc, Andrei and P{\'e}rez, Patrick and Sivic, Josef},
     journal = {Advances in Neural Information Processing Systems},
     year = {2023}
   }

2022

1. 

   Drive&segment: Unsupervised semantic segmentation of urban scenes via cross-modal distillation

   Antonin Vobecky, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, and Josef Sivic

   In European Conference on Computer Vision, 2022

   arXiv Bib Code

   @inproceedings{vobecky2022drive,
     title = {Drive\&segment: Unsupervised semantic segmentation of urban scenes via cross-modal distillation},
     author = {Vobecky, Antonin and Hurych, David and Sim{\'e}oni, Oriane and Gidaris, Spyros and Bursuc, Andrei and P{\'e}rez, Patrick and Sivic, Josef},
     booktitle = {European Conference on Computer Vision},
     year = {2022}
   }

2. 

   What to hide from your students: Attention-guided masked image modeling

   Ioannis Kakogeorgiou, Spyros Gidaris, Bill Psomas, Yannis Avrithis, Andrei Bursuc, Konstantinos Karantzalos, and Nikos Komodakis

   In European Conference on Computer Vision, 2022

   arXiv Bib Code

   @inproceedings{kakogeorgiou2022hide,
     title = {What to hide from your students: Attention-guided masked image modeling},
     author = {Kakogeorgiou, Ioannis and Gidaris, Spyros and Psomas, Bill and Avrithis, Yannis and Bursuc, Andrei and Karantzalos, Konstantinos and Komodakis, Nikos},
     booktitle = {European Conference on Computer Vision},
     year = {2022}
   }

3. 

   Image-to-lidar self-supervised distillation for autonomous driving data

   Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, and Renaud Marlet

   In IEEE Conference on Computer Vision and Pattern Recognition, 2022

   arXiv Bib Code

   @inproceedings{sautier2022image,
     title = {Image-to-lidar self-supervised distillation for autonomous driving data},
     author = {Sautier, Corentin and Puy, Gilles and Gidaris, Spyros and Boulch, Alexandre and Bursuc, Andrei and Marlet, Renaud},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     year = {2022}
   }

2021

1. 

   Obow: Online bag-of-visual-words generation for self-supervised learning

   Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, and Patrick Pérez

   In IEEE Conference on Computer Vision and Pattern Recognition, 2021

   arXiv Bib Code

   @inproceedings{gidaris2021obow,
     title = {Obow: Online bag-of-visual-words generation for self-supervised learning},
     author = {Gidaris, Spyros and Bursuc, Andrei and Puy, Gilles and Komodakis, Nikos and Cord, Matthieu and P{\'e}rez, Patrick},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     year = {2021}
   }

2. 

   Localizing objects with self-supervised transformers and no labels

   Oriane Siméoni, Gilles Puy, Huy V Vo, Simon Roburin, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Renaud Marlet, and Jean Ponce

   arXiv preprint arXiv:2109.14279, 2021

   arXiv Bib Code

   @article{simeoni2021localizing,
     title = {Localizing objects with self-supervised transformers and no labels},
     author = {Sim{\'e}oni, Oriane and Puy, Gilles and Vo, Huy V and Roburin, Simon and Gidaris, Spyros and Bursuc, Andrei and P{\'e}rez, Patrick and Marlet, Renaud and Ponce, Jean},
     journal = {arXiv preprint arXiv:2109.14279},
     year = {2021}
   }

2020

1. 

   Learning representations by predicting bags of visual words

   Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, and Matthieu Cord

   In IEEE Conference on Computer Vision and Pattern Recognition, 2020

   arXiv Bib

   @inproceedings{gidaris2020learning,
     title = {Learning representations by predicting bags of visual words},
     author = {Gidaris, Spyros and Bursuc, Andrei and Komodakis, Nikos and P{\'e}rez, Patrick and Cord, Matthieu},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     year = {2020}
   }

2. 

   QuEST: Quantized Embedding Space for Transferring Knowledge

   Himalaya Jain, Spyros Gidaris, Nikos Komodakis, Patrick Pérez, and Matthieu Cord

   In European Conference on Computer Vision, 2020

   arXiv Bib Code

   @inproceedings{jain2020quest,
     author = {Jain, Himalaya and Gidaris, Spyros and Komodakis, Nikos and P{\'e}rez, Patrick and Cord, Matthieu},
     title = {QuEST: Quantized Embedding Space for Transferring Knowledge},
     booktitle = {European Conference on Computer Vision},
     year = {2020}
   }

2019

1. 

   Generating classification weights with gnn denoising autoencoders for few-shot learning

   Spyros Gidaris and Nikos Komodakis

   In IEEE Conference on Computer Vision and Pattern Recognition, 2019

   arXiv Bib Code

   @inproceedings{gidaris2019generating,
     title = {Generating classification weights with gnn denoising autoencoders for few-shot learning},
     author = {Gidaris, Spyros and Komodakis, Nikos},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     year = {2019}
   }

2. 

   Boosting few-shot visual learning with self-supervision

   Spyros Gidaris, Andrei Bursuc, Nikos Komodakis, Patrick Pérez, and Matthieu Cord

   In International Conference on Computer Vision, 2019

   arXiv Bib Code

   @inproceedings{gidaris2019boosting,
     title = {Boosting few-shot visual learning with self-supervision},
     author = {Gidaris, Spyros and Bursuc, Andrei and Komodakis, Nikos and P{\'e}rez, Patrick and Cord, Matthieu},
     booktitle = {International Conference on Computer Vision},
     year = {2019}
   }

2018

1. 

   Unsupervised representation learning by predicting image rotations

   Spyros Gidaris, Praveer Singh, and Nikos Komodakis

   In International Conference on Learning Representations, 2018

   arXiv Bib Code

   @inproceedings{gidaris2018unsupervised,
     title = {Unsupervised representation learning by predicting image rotations},
     author = {Gidaris, Spyros and Singh, Praveer and Komodakis, Nikos},
     booktitle = {International Conference on Learning Representations},
     year = {2018}
   }

2. 

   Dynamic few-shot visual learning without forgetting

   Spyros Gidaris and Nikos Komodakis

   In IEEE Conference on Computer Vision and Pattern Recognition, 2018

   arXiv Bib Code

   @inproceedings{gidaris2018dynamic,
     title = {Dynamic few-shot visual learning without forgetting},
     author = {Gidaris, Spyros and Komodakis, Nikos},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     year = {2018}
   }

2017

1. 

   Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling

   Spyros Gidaris and Nikos Komodakis

   In IEEE Conference on Computer Vision and Pattern Recognition, 2017

   arXiv Bib

   @inproceedings{gidaris2017detect,
     author = {Gidaris, Spyros and Komodakis, Nikos},
     title = {Detect, Replace, Refine: Deep Structured Prediction for Pixel Wise Labeling},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     year = {2017}
   }

2016

1. 

   LocNet: Improving Localization Accuracy for Object Detection

   Spyros Gidaris and Nikos Komodakis

   In IEEE Conference on Computer Vision and Pattern Recognition, 2016

   arXiv Bib Code

   @inproceedings{gidaris2016locnet,
     author = {Gidaris, Spyros and Komodakis, Nikos},
     title = {LocNet: Improving Localization Accuracy for Object Detection},
     booktitle = {IEEE Conference on Computer Vision and Pattern Recognition},
     year = {2016}
   }

2015

1. 

   Object detection via a multi-region and semantic segmentation-aware cnn model

   Spyros Gidaris and Nikos Komodakis

   In International Conference on Computer Vision, 2015

   arXiv Bib Code

   @inproceedings{gidaris2015object,
     title = {Object detection via a multi-region and semantic segmentation-aware cnn model},
     author = {Gidaris, Spyros and Komodakis, Nikos},
     booktitle = {International Conference on Computer Vision},
     year = {2015}
   }