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
Winter Conference on Applications of Computer Vision (WACV) 2021
Minimal Solvers for Rectifying from Radially-Distorted Conjugate Translations
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2020
Minimal Solvers for Rectifying from Radially-Distorted Scales and Change of Scales
International Journal of Computer Vision (IJCV) 2020
Rectification from Radially-Distorted Scales
Asian Conference on Computer Vision (ACCV) 2018
Best Paper Award
Radially-Distorted Conjugate Translations
Conference on Computer Vision and Pattern Recognition (CVPR) 2018
Coplanar Repeats by Energy Minimization
British Machine Vision Conference (BMVC) 2016
Detection, Rectification and Segmentation of Coplanar Repeated Patterns
Conference on Computer Vision and Pattern Recognition (CVPR) 2014
Approximate Models for Fast and Accurate Epipolar Geometry Estimation
Advising
Yaroslava Lochman, M.Sc.
PhD candidate at Chalmers University
Kostiantyn Liepieshov, B.Sc.
ML Lab at Ukrainian Catholic University
Awards
ACCV 2018 Saburo Tsuji Best Paper
