@inproceedings{venkataramanan2025francanestedmatryoshkaclustering,title={Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning},author={Venkataramanan, Shashanka and Pariza, Valentinos and Salehi, Mohammadreza and Knobel, Lukas and Ramzi, Elias and Gidaris, Spyros and Bursuc, Andrei and Asano, Yuki M.},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},year={2026},pages={10533--10544},note={Shashanka Venkataramanan and Valentinos Pariza contributed equally.},url={https://arxiv.org/abs/2507.14137},}
2025
ICLR
Near, far: Patch-ordering enhances vision foundation models’ scene understanding
Valentinos Pariza, Mohammadreza Salehi, Gertjan Burghouts, and 2 more authors
In International Conference on Learning Representations (ICLR), 2025
@inproceedings{pariza2024NeCo,title={Near, far: Patch-ordering enhances vision foundation models' scene understanding},author={Pariza, Valentinos and Salehi, Mohammadreza and Burghouts, Gertjan and Locatello, Francesco and Asano, Yuki M.},booktitle={International Conference on Learning Representations (ICLR)},year={2025},url={https://arxiv.org/abs/2408.11054},}
2023
ReScience
[Re] Reproducibility Study of "Label-Free Explainability for Unsupervised Models"
Valentinos Pariza, Avik Pal, Madhura Pawar, and 1 more author
@article{pariza2023reproducibility,title={{[Re]} Reproducibility Study of "Label-Free Explainability for Unsupervised Models"},author={Pariza, Valentinos and Pal, Avik and Pawar, Madhura and Faber, Q. S.},journal={ReScience C},volume={9},number={2},year={2023},note={Article 11.},doi={10.5281/zenodo.8173674},url={https://doi.org/10.5281/zenodo.8173674},}