Ostap Viniavskyi

Research Engineer at The Machine Learning Lab. Works in computer vision and deep learning domains. Has experience in applying machine learning techniques to medical imaging.

Current projects:

WSMIS: a method of weakly-supervised semantic segmentation that demonstrates its efficiency for detecting anomalous regions on chest X-rays.

BraTS: Multimodal Brain Tumor Segmentation


Ukrainian Catholic University (Sep 2017 – Jun 2021)
BSc in Computer Sciences, Ukraine
3rd year student

NoPeopleAllowed: The Three-Step Approach to Weakly Supervised Semantic Segmentation
M. Dobko, O. Viniavskyi, O. Dobosevych
The 2020 Learning from Imperfect Data (LID) Challenge – CVPR Workshops. arXiv, code