James Pritts

James Pritts

Czech Institute of Informatics, Robotics and Cybernetics

Research Fellow

About

I am a Post-Doctoral Research Fellow at the Czech Insititute of Informatics, Robotics and Cybernetics at Czech Technical University in Prague, where I am responsible for conducting research in 3D geometry for computer vision. Previously I worked at Facebook Reality Labs Research, where I was responsible for the geometric calibration of head-mounted capture systems. I was awarded the ACCV 2018 Saburo Tsuji Best Paper Award and the IVCNZ 2013 Best Paper Award. I received my PhD in Computer Science from Czech Technical University in Prague.

Publications

Information-Theoretic Online Multi-Camera Extrinsic Calibration.
E. Dexheimer, P. Peluse, J. Chen, J. Pritts, and M. Kaess
IEEE Robotics and Automation Letters, 2022
BabelCalib: A Universal Approach to Calibrating Central Cameras
Y. Lochman, K. Liepieshov, J. Chen, M. Perdoch, C. Zach, J. Pritts
International Conference on Computer Vision (ICCV) 2021
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) 2021
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

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

Advising

Ostap Viniavskyi 2021
BSc Thesis: Learning Discriminative Context-Aware Keypoints Representations for Resolving Ambiguous Matches
moved on to Researcher at The ML Lab at Ukrainian Catholic University
Yaroslava Lochman 2020
MSc Thesis: Minimal Solvers for Single-View Auto-Calibration
moved on to PhD candidate at Chalmers University
Kostiantyn Liepieshov 2020
BSc Thesis: Manhattan Frame Detection in Lens Distorted Images
moved on to MSc student at Ukrainian Catholic University

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