Je Hyeong (John) Hong

Je Hyeong (John) Hong

Background - Research - Publications - Teaching

Background - Research - Publications - Teaching

Position: PhD Candidate

Position: PhD Candidate

E-mail: jhh37 [at] cam.ac.uk

E-mail: jhh37 [at] cam.ac.uk

Office Location: BN4-80

Office Location: BN4-80

I was a PhD student in the Computer Vision group under Prof. Roberto Cipolla's guidance. My research involved developing algorithms and strategies for low-rank optimization problems in computer vision, namely bundle adjustment in 3D vision. During my PhD, I closely worked with Dr Andrew Fitzgibbon and Dr Christopher Zach. My study was generously funded by Microsoft Research PhD Scholarship and Toshiba Research Europe Studentship.

I am a final year PhD student in the Computer Vision group under Prof. Roberto Cipolla's guidance. My research has involved developing algorithms and strategies for low-rank optimization problems in computer vision, namely bundle adjustment in 3D vision. During my PhD, I have closely worked with Dr Andrew Fitzgibbon and Dr Christopher Zach. My study has been generously funded by Microsoft Research PhD Scholarship and Toshiba Research Europe Studentship.

[ UPDATES ]

[ UPDATES ]

1. I will be graduating in mid-May.
2. I'm at Snap in Los Angeles until mid-June, then off to Salt Lake City for a poster presentation at CVPR.
3. I will be starting a new research job at the Korea Institute of Science and Technology (KIST) in Seoul from the end of June (for my 3 years of mandatory alternative military service).

1. I will be graduating in mid-May.
2. I'm at Snap in Los Angeles until mid-June, then off to Salt Lake City for a poster presentation at CVPR.
3. I will be starting a new research job at the Korea Institute of Science and Technology (KIST) in Seoul from the end of June (for my 3 years of mandatory alternative military service).

Background

Background

I obtained BA and MEng honours degrees from the University of Cambridge. You can find my CV here.

I obtained BA and MEng honours degrees from the University of Cambridge. You can find my CV here.

Research Interests

Research Interests

• Low-rank matrix factorization problems with missing data
• Structure-from-motion including bundle adjustment
• Bivariate and other nonlinear optimization problems

• Low-rank matrix factorization problems with missing data
• Structure-from-motion including bundle adjustment
• Bivariate and other nonlinear optimization problems

Publications

Publications

• pOSE: Pseudo Object Space Error for Initialization-free Bundle Adjustment
  J.H. Hong and C. Zach
  2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), to appear.
  [ Paper ] [ Supplementary ] [ Repo ] [ Poster ] [ Video ]
  
• Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
  J.H. Hong, C. Zach and A.W. Fitzgibbon
  2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  [ Paper ] [ Supplementary ] [ Repo ] [ Poster ] [ Video ]
• Projective Bundle Adjustment from Arbitrary Initialization using the Variable Projection Method
  J.H. Hong, C. Zach, A.W. Fitzgibbon and R. Cipolla
  2016 European Conference on Computer Vision (ECCV)
  [ Paper ] [ Supplementary ] [ Repo ] [ Poster ]
• Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
  J.H. Hong and A.W. Fitzgibbon
  2015 IEEE International Conference on Computer Vision (ICCV)
  [ Paper ] [ Supplementary ] [ Repo ] [ Poster ] [ Video ]

• pOSE: Pseudo Object Space Error for Initialization-free Bundle Adjustment
  J.H. Hong and C. Zach
  2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), to appear.
  [ Paper ] [ Supplementary ] [ Repo ] [ Poster ] [ Video ]
  
• Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
  J.H. Hong, C. Zach and A.W. Fitzgibbon
  2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  [ Paper ] [ Supplementary ] [ Repo ] [ Poster ] [ Video ]
• Projective Bundle Adjustment from Arbitrary Initialization using the Variable Projection Method
  J.H. Hong, C. Zach, A.W. Fitzgibbon and R. Cipolla
  2016 European Conference on Computer Vision (ECCV)
  [ Paper ] [ Supplementary ] [ Repo ] [ Poster ]
• Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
  J.H. Hong and A.W. Fitzgibbon
  2015 IEEE International Conference on Computer Vision (ICCV)
  [ Paper ] [ Supplementary ] [ Repo ] [ Poster ] [ Video ]

Internships

Internships

• Snap, Los Angeles, USA (2018): I am working with Oliver Woodford and Ed Rosten on a large-scale optimization project.
• Oculus (Facebook), Redmond, USA (2017): I worked with Alexander Fix on an eye-tracking project, developing an optimization strategy using nonlinear least squares and the implicit function theorem.
• Toshiba, Cambridge, UK (2015, 2017): I worked with Christopher Zach on a projective bundle adjustment project and a global structure-from-motion strategy using the Variable Projection (VarPro) method.
• Microsoft, Cambridge, UK (2014): I worked with Andrew Fitzgibbon on a project involving low-rank matrix factorization with missing data.

• Snap, Los Angeles, USA (2018): I am working with Oliver Woodford and Ed Rosten on a large-scale optimization project.
• Oculus (Facebook), Redmond, USA (2017): I worked with Alexander Fix on an eye-tracking project, developing an optimization strategy using nonlinear least squares and the implicit function theorem.
• Toshiba, Cambridge, UK (2015, 2017): I worked with Christopher Zach on a projective bundle adjustment project and a global structure-from-motion strategy using the Variable Projection (VarPro) method.
• Microsoft, Cambridge, UK (2014): I worked with Andrew Fitzgibbon on a project involving low-rank matrix factorization with missing data.

Talks

Talks

• Secrets of Matrix Factorization and its Application to Projective Bundle Adjustment
  KIST IMRC lab (Korea), Dec 2016
  ETRI (Korea), Aug 2016
• Comparing Matrix Factorization Algorithms on a Level Playing Field [ Video ]
  Microsoft Research Cambridge (CamAIML Workshop), Mar 2016

• Secrets of Matrix Factorization and its Application to Projective Bundle Adjustment
  KIST IMRC lab (Korea), Dec 2016
  ETRI (Korea), Aug 2016
• Comparing Matrix Factorization Algorithms on a Level Playing Field [ Video ]
  Microsoft Research Cambridge (CamAIML Workshop), Mar 2016

Teaching

Teaching

• Supervisor (2015-2017) for 3rd-year Cambridge engineering undergraduate students teaching in groups of pairs.
• Teaching Assistant for a 4th year module 4F13 Machine Learning (2015).
• Research Assistant for i-want-to-study-engineering.org (2013), an online tool to help students prepare for university engineering entrance interviews.

• Supervisor (2015-2017) for 3rd-year Cambridge engineering undergraduate students teaching in groups of pairs.
• Teaching Assistant for a 4th year module 4F13 Machine Learning (2015).
• Research Assistant for i-want-to-study-engineering.org (2013), an online tool to help students prepare for university engineering entrance interviews.