Yaroslava Lochman

Master Student in Data Science and a Research Engineer at The Machine Learning Lab
Experienced in solving computer vision problems with classical methods (camera parameters estimation from single-view) and deep neural networks (object detection; semantic and instance segmentation, mostly for medical images).
Yaroslava is supervised by James Pritts.

Scholar · GitHub · LinkedIn · Kaggle

Ukrainian Catholic University, 2018 — Present
MSc in Data Science


National Technical University of Ukraine “Kyiv Polytechnic Institute”, 2014 — 2018
BSc in System Analysis , GPA: 95/100

Ciklum, R&D
Research Engineer
Developed a robust cell nucleus boundary detector for multi-modal images of cells,
and a fruit detector for low-resolution drone images of densely packed and highly-occluded fruits.

Deloitte, Technology Integration Department
IT Consultant
Implemented process automation projects related to collecting information,
audit, and analytics.

Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales.
J. Pritts, Z. Kukelova, V. Larsson, Y. Lochman, O. Chum.
arXiv preprint, accepted for publication in IJCV ( paper | code )

Data Analysis and Preparation in Computer Vision, 2018  ( code | slides )
Lecture for CS bachelors in UCU

Segmentation of Microscopy Images, 2018  ( slides )
Lecture within the Deep Learning Talk, Women Who Code Kyiv