Yaroslav Prytula
Computer Vision Research Engineer
First-year PhD student in Computer Science at the University of Tartu and Ukrainian Catholic University, focusing on machine learning and computer vision. As a Research Engineer at the Biomedical Computer Vision Group I do research on transformer-based segmentation, detection, representation learning, and foundation models for medical imaging.
Current research
Medical Computer Vision
Query-based and transformer-driven segmentation models for overlapping objects in biomedical images.
QCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation
In BMVC 2026
@misc{prytula2026qcellrecombiningaligningcell,
title={QCell: Recombining and Aligning Cell Queries for Overlapping Instance Segmentation},
author={Yaroslav Prytula and Anton Popov and Dmytro Fishman},
year={2026},
eprint={2608.29253},
archivePrefix={arXiv},
primaryClass={cs.CV},
url={https://arxiv.org/abs/2608.29253}
}
@InProceedings{Prytula_2025_CVPR,
author = {Prytula, Yaroslav and Tsiporenko, Illia and Zeynalli, Ali and Fishman, Dmytro},
title = {IAUNet: Instance-Aware U-Net},
booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops},
month = {June},
year = {2025},
pages = {4739--4748}
}