James Pritts

James Pritts

Facebook Reality Labs Research

Postdoc

About

I am a Post-Doctoral Research Scientist in computer vision at Facebook Reality Labs Research working with Michal Perdoch, where my work focuses on the geometric calibration and auto-calibration of multi-camera capture systems. I also advise The Machine Learning Lab at Ukrainian Catholic University in Lviv. Prior I worked in The Applied Algebra and Geometry Group at The Czech Institute for Informatics, Robotics, and Cybernetics (CIIRC) led by Tomas Pajdla. I obtained my PhD from Czech Technical University in Prague under the advisement of Ondrej Chum and Zuzana Kukelova.

I will be starting a postdoc at Chalmers University under the supervision of Christopher Zach in March 2021.

Publications

Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration
Y. Lochman, O. Dobosevych, R. Hyrniv, J. Pritts
Winter Conference on Applications of Computer Vision (WACV) 2021
Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations
J. Pritts, Z. Kukelova, V. Larsson, Y. Lochman, O. Chum
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2020
Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales
J. Pritts, Z. Kukelova, V. Larsson, Y. Lochman, O. Chum
International Journal of Computer Vision (IJCV) 2020
Rectification from Radially-Distorted Scales
J. Pritts, Z. Kukelova, V. Larsson, O. Chum
Asian Conference on Computer Vision (ACCV) 2018
Best Paper Award
Radially-Distorted Conjugate Translations
J. Pritts, Z. Kukelova, V. Larsson, O. Chum
Conference on Computer Vision and Pattern Recognition (CVPR) 2018
Coplanar Repeats by Energy Minimization
J. Pritts, D. Rozumnyi, M. P. Kumar, O. Chum
British Machine Vision Conference (BMVC) 2016
Detection, Rectification and Segmentation of Coplanar Repeated Patterns
J. Pritts, O. Chum, J. Matas
Conference on Computer Vision and Pattern Recognition (CVPR) 2014
Approximate Models for Fast and Accurate Epipolar Geometry Estimation
J. Pritts, O. Chum, J. Matas
Image and Vision Computing New Zealand (IVCNZ) 2013
Best Paper Award

Advising

Yaroslava Lochman, M.Sc.
Thesis: Minimal Solvers for Single-View Auto-Calibration
PhD candidate at Chalmers University
Kostiantyn Liepieshov, B.Sc.
Thesis: Manhattan Frame Detection in Lens Distorted Images
ML Lab at Ukrainian Catholic University

Awards

ACCV 2018 Saburo Tsuji Best Paper
Rectification from Radially-Distorted Scales
IVCNZ 2013 Best Paper
Approximate Models for Fast and Accurate Epipolar Geometry Estimation

Teaching

  2017 — 2018  
Image Retrieval, Instructor - Master's level, Ukrainian Catholic University
  2013 — 2016  
Pattern Recognition and Machine Learning, TA - Bachelor's level, Czech Technical University in Prague