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

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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

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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

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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

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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

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Rectification from Radially-Distorted Scales

J. Pritts, Z. Kukelova, V. Larsson, O. Chum
Asian Conference on Computer Vision (ACCV) 2018
Best Paper Award

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Radially-Distorted Conjugate Translations

J. Pritts, Z. Kukelova, V. Larsson, O. Chum
Conference on Computer Vision and Pattern Recognition (CVPR) 2018

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Coplanar Repeats by Energy Minimization

J. Pritts, D. Rozumnyi, M. P. Kumar, O. Chum
British Machine Vision Conference (BMVC) 2016

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Detection, Rectification and Segmentation of Coplanar Repeated Patterns

J. Pritts, O. Chum, J. Matas
Conference on Computer Vision and Pattern Recognition (CVPR) 2014

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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

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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