I am a first-year PhD student in the Computer Vision research group at Chalmers University of Technology. I am supervised by Christopher Zach and co-supervised by Carl Olsson.

In 2020 I did a research internship at Facebook Reality Labs in Pittsburgh, where I developed robust methods to calibrate cameras with severe lens aberrations. I was supervised by James Pritts and Michal Perdoch.

I received my MSc in Jan 2020 at Ukrainian Catholic University. During my master studies, I also did research in the Machine Learning Lab, advised by James Pritts. I studied geometry-aware deep representations for dense feature matching and repeat/symmetry detection applied for geometric Computer Vision problems.

My research interests cover geometry, optimization and deep machine learning.


Publications

BabelCalib: A Universal Approach to Calibrating Central Cameras

Y. Lochman, Kostiantyn Liepieshov, Jianhui Chen, Michal Perdoch, Christopher Zach, James Pritts
In ICCV 2021 · arxiv · code · bibtex


Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration

Y. Lochman, O. Dobosevych, R. Hryniv, J. Pritts
In WACV 2021 (Oral) · arxiv · code · bibtex


Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations

J. Pritts, Z. Kukelova, V. Larsson, Y. Lochman, O. Chum
In TPAMI 2020 · arxiv · code · bibtex


Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales

J. Pritts, Z. Kukelova, V. Larsson, Y. Lochman, O. Chum
In IJCV 2020 · arxiv · code · bibtex