Difference: JHH37 (1 vs. 107)

Revision 107
Changes from r103 to r107
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META TOPICPARENT name="MiMembers"
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Office Location: BN4-80

Changed:
<
<		 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. Throughout 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.
>
>		 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.
 

[ UPDATES ]

Changed:
<
<
  1. Thesis corrections approved. Now, hoping to officially graduate in May!
  2. I'm 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 (as part of my 3 years of mandatory alternative military service).
>
>
  1. [10 May 2018] A patch for Ceres Solver implementing VarPro is available here.
  2. [19 May 2018] I will attend a graduation ceremony in Cambridge.
  3. [17 June 2018] I will leave Snap and travel to Salt Lake City for a poster presentation at CVPR.
  4. [25 June 2018] I will be starting my new job at the Korea Institute of Science and Technology (KIST) in Seoul.
 

Background

Line: 35 to 36
 

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 ]
Changed:
<
<
  • 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 ]
>
>
  • 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 ] [ Code ]
 
  • 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

Revision 103
Changes from r99 to r103
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META TOPICPARENT name="MiMembers"
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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. Throughout 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.

Changed:
<
<		 UPDATE: I'm currently working on my thesis corrections.
>
>		 [ UPDATES ]
  1. Thesis corrections approved. Now, hoping to officially graduate in May!
  2. I'm 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 (as part of my 3 years of mandatory alternative military service).
 

Background

Line: 32 to 34
 

Publications

Changed:
<
<
  • 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.
>
>
  • 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

Changed:
<
<
  • Snap, Los Angeles, USA (2018): I will be working with Oliver Woodford and Ed Rosten on a large-scale optimization project.
>
>
  • 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.
Revision 99
Changes from r95 to r99
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META TOPICPARENT name="MiMembers"
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Background - Research - Publications - Teaching

Changed:
<
<		 Position: PhD Student
>
>		 Position: PhD Candidate
 

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

Line: 17 to 17
 

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. Throughout 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.

Added:
>
>		 UPDATE: I'm currently working on my thesis corrections.
 

Background

Changed:
<
<		 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

Line: 35 to 37
 
  • 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

Changed:
<
<
  • Snap, LA, USA (2018): I will be working with Oliver Woodford and Ed Rosten on a large-scale optimization project.
>
>
  • Snap, Los Angeles, USA (2018): I will be 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.
Line: 49 to 51
 

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Revision 95
Changes from r91 to r95
Line: 1 to 1
 
META TOPICPARENT name="MiMembers"
Line: 15 to 15
 

Office Location: BN4-80

Added:
>
>		 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. Throughout 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.
 

Background

Changed:
<
<		 I am a fourth 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. Throughout 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.

Prior to my PhD, I obtained BA and MEng honours degrees from the University of Cambridge.

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

Research Interests

Deleted:
<
<
  • Bundle adjustment
 
  • Low-rank matrix factorization problems with missing data
Changed:
<
<
  • Bilinear optimization problems in computer vision
>
>
  • Structure-from-motion including bundle adjustment
  • Bivariate and other nonlinear optimization problems
 

Changed:
<
<

Peer-reviewed 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.
 
  • 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 ]
Added:
>
>

Internships

  • Snap, LA, USA (2018): I will be 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

  • 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
Deleted:
<
<

Internships

  • 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 Research, Cambridge, UK (2017): I worked with Christopher Zach on a global structure-from-motion strategy using the Variable Projection (VarPro) method.
  • Toshiba Research, Cambridge, UK (2015): I worked with Christopher Zach on a projective bundle adjustment project using the Variable Projection (VarPro) method.
  • Microsoft Research, Cambridge, UK (2014): I worked with Andrew Fitzgibbon on a project involving low-rank matrix factorization with missing data.
 

Teaching

  • Supervisor (2015-2017) for 3rd-year Cambridge engineering undergraduate students teaching in groups of pairs.
Line: 48 to 49
 

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META FILEATTACHMENT attachment="Je_Hyeong_Hong_CV.pdf" attr="h" comment="Je Hyeong Hong CV" date="1496230663" name="Je_Hyeong_Hong_CV.pdf" path="Je Hyeong Hong CV.pdf" size="78658" user="jhh37" version="1"
>
>
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Revision 91
Changes from r87 to r91
Line: 1 to 1
 
META TOPICPARENT name="MiMembers"
Line: 20 to 20
 

I am a fourth 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. Throughout 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.

Added:
>
>		 Prior to my PhD, I obtained BA and MEng honours degrees from the University of Cambridge.
 

Research Interests

  • Bundle adjustment
Line: 31 to 33
 
  • 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 ]
Deleted:
<
<

Review

  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
 

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

Internships

Changed:
<
<
  • Oculus (Facebook), Redmond, USA (2017): I am currently working with Alex Fix on an eye-tracking project.
  • Toshiba Research, Cambridge, UK (2017): I worked with Christopher Zach on a global structure-from-motion strategy.
  • Toshiba Research, Cambridge, UK (2015): I worked with Christopher Zach on a projective bundle adjustment 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 Research, Cambridge, UK (2017): I worked with Christopher Zach on a global structure-from-motion strategy using the Variable Projection (VarPro) method.
  • Toshiba Research, Cambridge, UK (2015): I worked with Christopher Zach on a projective bundle adjustment project using the Variable Projection (VarPro) method.
 
  • Microsoft Research, Cambridge, UK (2014): I worked with Andrew Fitzgibbon on a project involving low-rank matrix factorization with missing data.

Teaching

Revision 87
Changes from r83 to r87
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META TOPICPARENT name="MiMembers"
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Background

Changed:
<
<		 I am a fourth year PhD student in the Computer Vision group. I work in collaboration with Dr Andrew Fitzgibbon and Dr Christopher Zach. My study has been generously funded by Microsoft Research Scholarship and Toshiba Research Europe Studentship.
>
>		 I am a fourth 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. Throughout 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.
 

Research Interests

Line: 28 to 28
 

Peer-reviewed Publications

Changed:
<
<
  • Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
    J.H. Hong, C. Zach and A.W. Fitzgibbon (CVPR 2017)
    [ 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 (ECCV 2016)
    [ Paper ] [ Supplementary ] [ Repo ] [ Poster ]
  • Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
    J.H. Hong and A.W. Fitzgibbon (ICCV 2015)
    [ 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 ]

Review

  • IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
 

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

Internships

  • Oculus (Facebook), Redmond, USA (2017): I am currently working with Alex Fix on an eye-tracking project.
Changed:
<
<
  • Toshiba Research, Cambridge, UK (2017): I worked with Christopher Zach on global structure-from-motion strategies.
  • Toshiba Research, Cambridge, UK (2015): I worked with Christopher Zach on the projective bundle adjustment project.
  • Microsoft Research, Cambridge, UK (2014): I worked with Andrew Fitzgibbon on the problem of low-rank matrix factorization with missing data.
>
>
  • Toshiba Research, Cambridge, UK (2017): I worked with Christopher Zach on a global structure-from-motion strategy.
  • Toshiba Research, Cambridge, UK (2015): I worked with Christopher Zach on a projective bundle adjustment project.
  • Microsoft Research, Cambridge, UK (2014): I worked with Andrew Fitzgibbon on a project involving low-rank matrix factorization with missing data.
 

Teaching

  • Supervisor (2015-2017) for 3rd-year Cambridge engineering undergraduate students teaching in groups of pairs.
Revision 83
Changes from r79 to r83
Line: 1 to 1
 
META TOPICPARENT name="MiMembers"
Line: 28 to 28
 

Peer-reviewed Publications

Changed:
<
<
  • Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
    J.H. Hong, C. Zach and A.W. Fitzgibbon (CVPR 2017)
    [ 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 (CVPR 2017)
    [ 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 (ECCV 2016)
    [ Paper ] [ Supplementary ] [ Repo ] [ Poster ]
  • Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
    J.H. Hong and A.W. Fitzgibbon (ICCV 2015)
    [ Paper ] [ Supplementary ] [ Repo ] [ Poster ] [ Video ]

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

Internships

Changed:
<
<
  • Toshiba Research, UK (2017): I am currently working with Christopher Zach on robust bundle adjustment.
  • Toshiba Research, UK (2015): I interned for 13 weeks working on the projective bundle adjustment project.
  • Microsoft Research, UK (2014): I interned for 12 weeks working on the problem of low-rank matrix factorization with missing data.
>
>
  • Oculus (Facebook), Redmond, USA (2017): I am currently working with Alex Fix on an eye-tracking project.
  • Toshiba Research, Cambridge, UK (2017): I worked with Christopher Zach on global structure-from-motion strategies.
  • Toshiba Research, Cambridge, UK (2015): I worked with Christopher Zach on the projective bundle adjustment project.
  • Microsoft Research, Cambridge, UK (2014): I worked with Andrew Fitzgibbon on the problem of low-rank matrix factorization with missing data.
 

Teaching

  • Supervisor (2015-2017) for 3rd-year Cambridge engineering undergraduate students teaching in groups of pairs.
Revision 79
Changes from r75 to r79
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META TOPICPARENT name="MiMembers"
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  • Bilinear optimization problems in computer vision

Changed:
<
<

Selected Publications

  • Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
    J.H. Hong, C. Zach and A.W. Fitzgibbon (CVPR 2017)
  • Projective Bundle Adjustment from Arbitrary Initialization using the Variable Projection Method
    J.H. Hong, C. Zach, A.W. Fitzgibbon and R. Cipolla (ECCV 2016)
    [ Paper ] [ Supplementary document ] [ Code ] [ Poster ]
  • Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
    J.H. Hong and A.W. Fitzgibbon (ICCV 2015)
    [ Paper ] [ Supplementary document ] [ Code ] [ Poster ] [ Video ]
>
>

Peer-reviewed Publications

  • Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
    J.H. Hong, C. Zach and A.W. Fitzgibbon (CVPR 2017)
    [ 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 (ECCV 2016)
    [ Paper ] [ Supplementary ] [ Repo ] [ Poster ]
  • Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
    J.H. Hong and A.W. Fitzgibbon (ICCV 2015)
    [ Paper ] [ Supplementary ] [ Repo ] [ Poster ] [ Video ]
 

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

Internships

Changed:
<
<
  • Toshiba Research, UK (2017): I will be re-interning this summer working with Christopher Zach.
>
>
  • Toshiba Research, UK (2017): I am currently working with Christopher Zach on robust bundle adjustment.
 
  • Toshiba Research, UK (2015): I interned for 13 weeks working on the projective bundle adjustment project.
  • Microsoft Research, UK (2014): I interned for 12 weeks working on the problem of low-rank matrix factorization with missing data.
Line: 45 to 45
 

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  • Bilinear optimization problems in computer vision

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<

Publications

  • Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
    J. H. Hong, C. Zach and A. W. Fitzgibbon (CVPR 2017, accepted)
>
>

Selected Publications

  • Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
    J.H. Hong, C. Zach and A.W. Fitzgibbon (CVPR 2017)
 
  • Projective Bundle Adjustment from Arbitrary Initialization using the Variable Projection Method
    J. H. Hong, C. Zach, A. W. Fitzgibbon and R. Cipolla (ECCV 2016)
    [ Paper ] [ Supplementary document ] [ Code ] [ Poster ]
  • Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
    J. H. Hong and A. W. Fitzgibbon (ICCV 2015)
    [ Paper ] [ Supplementary document ] [ Code ] [ Poster ] [ Video ]

Talks

Line: 45 to 45
 

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>
>
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Background

Changed:
<
<		 I am a third year PhD student in the Computer Vision group. I work in collaboration with Dr Andrew Fitzgibbon and Dr Christopher Zach. My study has been generously funded by Microsoft Research Scholarship and Toshiba Research Europe Studentship.
>
>		 I am a fourth year PhD student in the Computer Vision group. I work in collaboration with Dr Andrew Fitzgibbon and Dr Christopher Zach. My study has been generously funded by Microsoft Research Scholarship and Toshiba Research Europe Studentship.
 

Research Interests

  • Bundle adjustment
  • Low-rank matrix factorization problems with missing data
Deleted:
<
<
  • Robust transformed component analysis
 
  • Bilinear optimization problems in computer vision

Publications

Changed:
<
<
  • Projective Bundle Adjustment from Arbitrary Initialization using the Variable Projection Method
    J. H. Hong, C. Zach, A. W. Fitzgibbon and R. Cipolla (2016)
    In Proceedings of the 2016 European Conference on Computer Vision (ECCV), 477--493
    [ Paper ] [ Supplementary document ] [ Code ] [ Poster ]
  • Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
    J. H. Hong and A. W. Fitzgibbon (2015)
    In Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), 4130--4138
    [ Paper ] [ Supplementary document ] [ Code ] [ Poster ] [ Video ]

Talk

  • Comparing Matrix Factorization Algorithms on a Level Playing Field
    At the 2016 Cambridge Artificial Intelligence and Machine Learning in Cambridge (CamAIML) workshop, 18 March 2016
    [ Video ]

Other Publication

  • Bayesian Error Propagation for a Kinetic Model of n-Propylbenzene Oxidation in a Shock Tube
    S. Mosbach, J. H. Hong, G. P. E. Brownbridge, M. Kraft, S. Gudiyella, and K. Brezinsky (2014)
    International Journal of Chemical Kinetics, 46(7): 389--404
>
>
  • Revisiting the Variable Projection Method for Separable Nonlinear Least Squares Problems
    J. H. Hong, C. Zach and A. W. Fitzgibbon (CVPR 2017, accepted)
  • Projective Bundle Adjustment from Arbitrary Initialization using the Variable Projection Method
    J. H. Hong, C. Zach, A. W. Fitzgibbon and R. Cipolla (ECCV 2016)
    [ Paper ] [ Supplementary document ] [ Code ] [ Poster ]
  • Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
    J. H. Hong and A. W. Fitzgibbon (ICCV 2015)
    [ Paper ] [ Supplementary document ] [ Code ] [ Poster ] [ Video ]

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
 

Internships

Changed:
<
<
  • July - Oct 2015: I worked at Toshiba Research Europe as a research intern for 13 weeks working on the projective bundle adjustment project.
  • July - Oct 2014: I interned at Microsoft Research Cambridge for 12 weeks working on the problem of low-rank matrix factorization with missing data.
>
>
  • Toshiba Research, UK (2017): I will be re-interning this summer working with Christopher Zach.
  • Toshiba Research, UK (2015): I interned for 13 weeks working on the projective bundle adjustment project.
  • Microsoft Research, UK (2014): I interned for 12 weeks working on the problem of low-rank matrix factorization with missing data.
 
Changed:
<
<

Teaching Experience

Teaching Assistant

  • Part 2B 4F13 Machine Learning (2015)

Supervisions

  • Part 2A 3M1 Mathematical Methods (2015, 2016)
  • Part 2A 3F1 Signals and Systems (2015)
  • Part 2A 3F3 Signal and Pattern Processing (2015)

Lab Demonstrations

  • Part 1B Computing (MATLAB) (2014, 2015, 2016)
  • Part 1B I1 Spectrum Analysis (2016)
  • Part 2A SF2 Image Processing (2014, 2015, 2016)
  • Part 2A 3F6 Object-oriented Programming (2015, 2016)
  • Part 1B Computing (C++) (2015, 2016)
  • Part 1A Microprocessors (2014)

Research Assistant

>
>

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.
 

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Revision 67
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  • Low-rank matrix factorization problems with missing data
  • Robust transformed component analysis
  • Bilinear optimization problems in computer vision
Deleted:
<
<
  • Non-rigid structure-from-motion
 

Publications

Changed:
<
<
  • Projective Bundle Adjustment from Arbitrary Initialization using the Variable Projection Method
    J. H. Hong, C. Zach, A. W. Fitzgibbon and R. Cipolla (2016)
    In Proceedings of the 2016 European Conference on Computer Vision (ECCV), 477--493
    [ Paper ] [ Supplementary document ] [ Code ] [ Poster ]
  • Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
    J. H. Hong and A. W. Fitzgibbon (2015)
    In Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), 4130--4138
    [ Paper ] [ Supplementary document ] [ Code ] [ Video ] [ Poster ]
>
>
  • Projective Bundle Adjustment from Arbitrary Initialization using the Variable Projection Method
    J. H. Hong, C. Zach, A. W. Fitzgibbon and R. Cipolla (2016)
    In Proceedings of the 2016 European Conference on Computer Vision (ECCV), 477--493
    [ Paper ] [ Supplementary document ] [ Code ] [ Poster ]
  • Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
    J. H. Hong and A. W. Fitzgibbon (2015)
    In Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), 4130--4138
    [ Paper ] [ Supplementary document ] [ Code ] [ Poster ] [ Video ]

Talk

  • Comparing Matrix Factorization Algorithms on a Level Playing Field
    At the 2016 Cambridge Artificial Intelligence and Machine Learning in Cambridge (CamAIML) workshop, 18 March 2016
    [ Video ]
 

Other Publication

Changed:
<
<
  • Bayesian Error Propagation for a Kinetic Model of n-Propylbenzene Oxidation in a Shock Tube
    S. Mosbach, J. H. Hong, G. P. E. Brownbridge, M. Kraft, S. Gudiyella, and K. Brezinsky (2014)
    International Journal of Chemical Kinetics, 46(7):389--404
>
>
  • Bayesian Error Propagation for a Kinetic Model of n-Propylbenzene Oxidation in a Shock Tube
    S. Mosbach, J. H. Hong, G. P. E. Brownbridge, M. Kraft, S. Gudiyella, and K. Brezinsky (2014)
    International Journal of Chemical Kinetics, 46(7): 389--404
 

Internships

  • July - Oct 2015: I worked at Toshiba Research Europe as a research intern for 13 weeks working on the projective bundle adjustment project.
  • July - Oct 2014: I interned at Microsoft Research Cambridge for 12 weeks working on the problem of low-rank matrix factorization with missing data.
Revision 63
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META TOPICPARENT name="MiMembers"
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Background

Changed:
<
<		 I am a third year PhD student in the Computer Vision group. My work is co-supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach. My study has been generously funded by Microsoft Research Scholarship and Toshiba Research Europe Studentship.
>
>		 I am a third year PhD student in the Computer Vision group. I work in collaboration with Dr Andrew Fitzgibbon and Dr Christopher Zach. My study has been generously funded by Microsoft Research Scholarship and Toshiba Research Europe Studentship.
 

Research Interests

Line: 30 to 30
 

Publications

Changed:
<
<
>
>
  • Projective Bundle Adjustment from Arbitrary Initialization using the Variable Projection Method
    J. H. Hong, C. Zach, A. W. Fitzgibbon and R. Cipolla (2016)
    In Proceedings of the 2016 European Conference on Computer Vision (ECCV), 477--493
    [ Paper ] [ Supplementary document ] [ Code ] [ Poster ]
  • Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
    J. H. Hong and A. W. Fitzgibbon (2015)
    In Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), 4130--4138
    [ Paper ] [ Supplementary document ] [ Code ] [ Video ] [ Poster ]
 

Other Publication

Changed:
<
<
>
>
  • Bayesian Error Propagation for a Kinetic Model of n-Propylbenzene Oxidation in a Shock Tube
    S. Mosbach, J. H. Hong, G. P. E. Brownbridge, M. Kraft, S. Gudiyella, and K. Brezinsky (2014)
    International Journal of Chemical Kinetics, 46(7):389--404
 

Internships

  • July - Oct 2015: I worked at Toshiba Research Europe as a research intern for 13 weeks working on the projective bundle adjustment project.
  • July - Oct 2014: I interned at Microsoft Research Cambridge for 12 weeks working on the problem of low-rank matrix factorization with missing data.
Line: 46 to 46
 
  • Part 2A 3F1 Signals and Systems (2015)
  • Part 2A 3F3 Signal and Pattern Processing (2015)

Lab Demonstrations

Added:
>
>
  • Part 1B Computing (MATLAB) (2014, 2015, 2016)
  • Part 1B I1 Spectrum Analysis (2016)
 
  • Part 2A SF2 Image Processing (2014, 2015, 2016)
  • Part 2A 3F6 Object-oriented Programming (2015, 2016)
  • Part 1B Computing (C++) (2015, 2016)
Deleted:
<
<
  • Part 1B Computing (MATLAB) (2014, 2015)
 
  • Part 1A Microprocessors (2014)

Research Assistant

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<
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META TOPICPARENT name="MiMembers"
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Background

Changed:
<
<		 I am a third year PhD student in the Computer Vision group. My work is co-supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach. My study has been generously funded by Microsoft Research and Toshiba Research Europe.
>
>		 I am a third year PhD student in the Computer Vision group. My work is co-supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach. My study has been generously funded by Microsoft Research Scholarship and Toshiba Research Europe Studentship.
 

Research Interests

  • Bundle adjustment
  • Low-rank matrix factorization problems with missing data
Added:
>
>
  • Robust transformed component analysis
  • Bilinear optimization problems in computer vision
 
  • Non-rigid structure-from-motion
Deleted:
<
<

Internships

 

Publications

Changed:
<
<

Computer Vision

Other

>
>

Other Publication

 
Added:
>
>

Internships

  • July - Oct 2015: I worked at Toshiba Research Europe as a research intern for 13 weeks working on the projective bundle adjustment project.
  • July - Oct 2014: I interned at Microsoft Research Cambridge for 12 weeks working on the problem of low-rank matrix factorization with missing data.
 
Changed:
<
<

Teaching

>
>

Teaching Experience

 

Teaching Assistant

  • Part 2B 4F13 Machine Learning (2015)

Supervisions

Line: 50 to 51
 
  • Part 1B Computing (C++) (2015, 2016)
  • Part 1B Computing (MATLAB) (2014, 2015)
  • Part 1A Microprocessors (2014)
Changed:
<
<

Other

>
>

Research Assistant

 

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Publications

Computer Vision

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Other

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>

Other

 

Teaching

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Publications

Computer Vision

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>
 

Other

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  • Part 2A 3F1 Signals and Systems (2015)
  • Part 2A 3F3 Signal and Pattern Processing (2015)

Lab Demonstrations

Changed:
<
<
  • Part 2A 3F6 Object-oriented Programming (2015, 2016)
  • Part 2A SF2 Image Processing (2014, 2015)
  • Part 1B Computing (C++) (2015)
>
>
  • Part 2A SF2 Image Processing (2014, 2015, 2016)
  • Part 2A 3F6 Object-oriented Programming (2015, 2016)
  • Part 1B Computing (C++) (2015, 2016)
  • Part 1B Computing (MATLAB) (2014, 2015)
 
  • Part 1A Microprocessors (2014)

Other

Changed:
<
<
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>
>
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Publications

Computer Vision

Changed:
<
<
  • Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
    J. H. Hong and A. W. Fitzgibbon (2015)
    In Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), to appear
    [ PDF ] [ Supplementary document ] [ Code ] [ Video ] [ Poster ]

Other

>
>

Other

 

Teaching

Teaching Assistant

  • Part 2B 4F13 Machine Learning (2015)

Supervisions

Added:
>
>
  • Part 2A 3M1 Mathematical Methods (2015, 2016)
 
  • Part 2A 3F1 Signals and Systems (2015)
  • Part 2A 3F3 Signal and Pattern Processing (2015)
Deleted:
<
<
  • Part 2A 3M1 Mathematical Methods (2015)
 

Lab Demonstrations

Changed:
<
<
  • Part 1B Computing (Octave / MATLAB) (2014, 2015)
>
>
  • Part 2A 3F6 Object-oriented Programming (2015, 2016)
 
  • Part 2A SF2 Image Processing (2014, 2015)
Deleted:
<
<
  • Part 2A 3F6 Object-oriented Programming (2015)
 
  • Part 1B Computing (C++) (2015)
  • Part 1A Microprocessors (2014)

Other

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Background

Changed:
<
<		 I am a second year PhD student in the Computer Vision group. My work is co-supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach. My study has been generously funded by Microsoft Research and Toshiba Research Europe.
>
>		 I am a third year PhD student in the Computer Vision group. My work is co-supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach. My study has been generously funded by Microsoft Research and Toshiba Research Europe.
 

Research Interests

Line: 32 to 32
 

Publications

Computer Vision

Changed:
<
<
>
>
  • Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
    J. H. Hong and A. W. Fitzgibbon (2015)
    In Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), to appear
    [ PDF ] [ Supplementary document ] [ Code ] [ Video ] [ Poster ]
 

Other

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META TOPICPARENT name="MiMembers" 

<--WYSIWYG content - do -->

<--not remove this comment, and never use this identical text in your topics-->
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Je Hyeong (John) Hong Je Hyeong Hong

>
>

Je Hyeong (John) Hong Je Hyeong Hong

 

Background - Research - Publications - Teaching

Line: 18 to 18
 

Background

Changed:
<
<		 I am a second year PhD student in the Computer Vision group. My work is co-supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach. My PhD has been generously funded by Microsoft Research and Toshiba Research Europe.
>
>		 I am a second year PhD student in the Computer Vision group. My work is co-supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach. My study has been generously funded by Microsoft Research and Toshiba Research Europe.
 

Research Interests

Line: 26 to 26
 
  • Low-rank matrix factorization problems with missing data
  • Non-rigid structure-from-motion

Internships

Changed:
<
<
>
>
 

Publications

Computer Vision

Changed:
<
<
  • Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
    J. H. Hong and A. W. Fitzgibbon (2015)
    In Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), to appear
>
>
 

Other

Line: 41 to 41
 

Teaching Assistant

  • Part 2B 4F13 Machine Learning (2015)

Supervisions

Added:
>
>
  • Part 2A 3F1 Signals and Systems (2015)
 
  • Part 2A 3F3 Signal and Pattern Processing (2015)
  • Part 2A 3M1 Mathematical Methods (2015)

Lab Demonstrations

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Other

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<
<
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META TOPICPARENT name="MiMembers" 

<--WYSIWYG content - do -->

<--not remove this comment, and never use this identical text in your topics-->
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<

Je Hyeong (John) Hong Je Hyeong Hong

>
>

Je Hyeong (John) Hong Je Hyeong Hong

 

Background - Research - Publications - Teaching

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Background

Changed:
<
<		 I am a second year PhD student in the Computer Vision group. My work is co-supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach.

Internships

>
>		 I am a second year PhD student in the Computer Vision group. My work is co-supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach. My PhD has been generously funded by Microsoft Research and Toshiba Research Europe.
 

Research Interests

  • Bundle adjustment
  • Low-rank matrix factorization problems with missing data
  • Non-rigid structure-from-motion
Added:
>
>

Internships

 

Publications

Line: 38 to 39
 

Teaching

Teaching Assistant

Changed:
<
<
  • Part 2B 4F13 Machine Learning (2015)
>
>
  • Part 2B 4F13 Machine Learning (2015)
 

Supervisions

  • Part 2A 3F3 Signal and Pattern Processing (2015)
  • Part 2A 3M1 Mathematical Methods (2015)
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Other

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<
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>
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Background

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<
<		 I am a second year PhD student in the Computer Vision and Robotics group, Machine Intelligence lab at Cambridge University Engineering Department. My work is co-supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach.
>
>		 I am a second year PhD student in the Computer Vision group. My work is co-supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach.
 

Internships

Changed:
<
<
>
>
 

Research Interests

Line: 31 to 31
 

Publications

Computer Vision

Changed:
<
<
  • Secrets of Matrix Factorization: Approximations, Numerics and Manifold Optimization
    J. H. Hong and A. W. Fitzgibbon
    IEEE International Conference on Computer Vision (ICCV), to appear, 2015
>
>
  • Secrets of Matrix Factorization: Approximations, Numerics, Manifold Optimization and Random Restarts
    J. H. Hong and A. W. Fitzgibbon (2015)
    In Proceedings of the 2015 IEEE International Conference on Computer Vision (ICCV), to appear
 

Other

Changed:
<
<
>
>
 

Teaching

Added:
>
>

Teaching Assistant

  • Part 2B 4F13 Machine Learning (2015)
 

Supervisions

  • Part 2A 3F3 Signal and Pattern Processing (2015)
  • Part 2A 3M1 Mathematical Methods (2015)

Lab Demonstrations

Added:
>
>
  • Part 1B Computing (Octave / MATLAB) (2014, 2015)
 
  • Part 2A SF2 Image Processing (2014, 2015)
  • Part 2A 3F6 Object-oriented Programming (2015)
  • Part 1B Computing (C++) (2015)
Deleted:
<
<
  • Part 1B Computing (Octave / MATLAB) (2014)
 
  • Part 1A Microprocessors (2014)

Other

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I am a second year PhD student in the Computer Vision and Robotics group, Machine Intelligence lab at Cambridge University Engineering Department. My work is co-supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach.

Internships

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<
<
>
>
 

Research Interests

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Publications

Computer Vision

Changed:
<
<

To follow...

>
>
  • Secrets of Matrix Factorization: Approximations, Numerics and Manifold Optimization
    J. H. Hong and A. W. Fitzgibbon
    IEEE International Conference on Computer Vision (ICCV), to appear, 2015
 

Other

Changed:
<
<

Bayesian Error Propagation for a Kinetic Model of n-Propylbenzene Oxidation in a Shock Tube, S. Mosbach, J. H. Hong, G. Brownbridge, M. Kraft, S. Gudiyella, and K. Brezinsky, International Journal of Chemical Kinetics, 46(7), 389-404, (2014)

>
>
 

Teaching

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Je Hyeong (John) Hong 10881822_10202834948907338_7495685802608863378_n.jpg

>
>

Je Hyeong (John) Hong Je Hyeong Hong

 

Background - Research - Publications - Teaching

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Background

Changed:
<
<		 Since January 2014, I am a PhD student in the Computer Vision and Robotics group, Machine Intelligence lab at Cambridge University Engineering Department. My work is supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach.

During the summer of 2014, I worked at Microsoft Research Cambridge as a research intern under the guidance of Dr Andrew Fitzgibbon, working on the problem of low-rank matrix factorization with missing data.

>
>		 I am a second year PhD student in the Computer Vision and Robotics group, Machine Intelligence lab at Cambridge University Engineering Department. My work is co-supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach.

Internships

 

Research Interests

Added:
>
>
  • Bundle adjustment
  • Low-rank matrix factorization problems with missing data
 
  • Non-rigid structure-from-motion
Deleted:
<
<
  • Low-rank matrix factorization with missing data
 

Publications

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Other

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<
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Background

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<		 Since January 2014, I am a PhD student in the Computer Vision and Robotics group, Machine Intelligence lab at Cambridge University Engineering Department. My work is supervised by Prof. Roberto Cipolla and Dr Andrew Fitzgibbon.
>
>		 Since January 2014, I am a PhD student in the Computer Vision and Robotics group, Machine Intelligence lab at Cambridge University Engineering Department. My work is supervised by Prof. Roberto Cipolla, Dr Andrew Fitzgibbon and Dr Christopher Zach.

During the summer of 2014, I worked at Microsoft Research Cambridge as a research intern under the guidance of Dr Andrew Fitzgibbon, working on the problem of low-rank matrix factorization with missing data.

 

Research Interests

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  • Optimization strategies for large-scale problems in computer vision
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Publications

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Teaching

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Supervision

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Supervisions

 
  • Part 2A 3F3 Signal and Pattern Processing (2015)
  • Part 2A 3M1 Mathematical Methods (2015)

Lab Demonstrations

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  • Part 2A SF2 Image Processing (2014, 2015)
 
  • Part 2A 3F6 Object-oriented Programming (2015)
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  • Part 1B Computing (Octave / MATLAB) (2014)
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Publications

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Computer Vision

To follow...

Other

Bayesian Error Propagation for a Kinetic Model of n-Propylbenzene Oxidation in a Shock Tube, S. Mosbach, J. H. Hong, G. Brownbridge, M. Kraft, S. Gudiyella, and K. Brezinsky, International Journal of Chemical Kinetics, 46(7), 389-404, (2014)

 

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Supervision

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Demonstrations

  • Part 1B Computing (C++) (2015)
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  • Part 2A 3F3 Signal and Pattern Processing (2015)
  • Part 2A 3M1 Mathematical Methods (2015)

Lab Demonstrations

  • Part 2A 3F6 Object-oriented Programming (2015)
  • Part 2A SF2 Image Processing (2014)
  • Part 1B Computing (C++) (2015)
 
  • Part 1B Computing (Octave / MATLAB) (2014)
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  • Part 2A Project - SF2 Image Processing (2014)
  • Part 1A Microprocessors (2014)
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  • Part 1A Microprocessors (2014)
 

Other

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Je Hyeong (John) Hong

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Je Hyeong (John) Hong 10881822_10202834948907338_7495685802608863378_n.jpg

 

Background - Research - Publications - Teaching

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Since January 2014, I am a PhD student in the Computer Vision and Robotics group, Machine Intelligence lab at Cambridge University Engineering Department. My work is supervised by Prof. Roberto Cipolla and Dr Andrew Fitzgibbon.

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<		 My main area of research is low-rank matrix completion, with a particular focus on the development of new approaches for large-scale matrix factorization problems with missing data in computer vision and machine learning.
 

Research Interests

  • Low-rank matrix completion
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  • Optimization strategies for large-scale problems in computer vision and machine learning
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  • Optimization strategies for large-scale problems in computer vision
 
  • Large-scale structure-from-motion

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Teaching

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Supervision

 

Demonstrations

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  • Part 1A Microprocessors (2014)

Other

 
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Je Hyeong (John) Hong

 
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Position: PhD Student

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Background

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<		 Since January 2014, I am a PhD student in the Computer Vision and Robotics group, Machine Intelligence lab at Cambridge University Engineering Department. My work is co-supervised by Prof. Roberto Cipolla and Dr Andrew Fitzgibbon.
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>		 Since January 2014, I am a PhD student in the Computer Vision and Robotics group, Machine Intelligence lab at Cambridge University Engineering Department. My work is supervised by Prof. Roberto Cipolla and Dr Andrew Fitzgibbon.
 
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<		 Currently, my main area of research is low-rank matrix completion, with a particular focus on the development of new approaches for large-scale matrix factorization problems with missing data in computer vision and machine learning.
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>		 My main area of research is low-rank matrix completion, with a particular focus on the development of new approaches for large-scale matrix factorization problems with missing data in computer vision and machine learning.
 

Research Interests

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  • Low-rank matrix completion
  • Optimization strategies for large-scale problems in computer vision and machine learning
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  • Low-rank matrix completion
  • Optimization strategies for large-scale problems in computer vision and machine learning
 
  • Large-scale structure-from-motion
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Publications

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Publications

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Teaching

Demonstrations

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  • Part 1B Computing (Octave / MATLAB) (2014)
  • Part 2A Project - SF2 Image Processing (2014)
 
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Je Hyeong Hong

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Je Hyeong Hong

 

Background - Research - Publications

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Office Location: BN4-80

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Background

 
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>		 Since January 2014, I am a PhD student in the Computer Vision and Robotics group, Machine Intelligence lab at Cambridge University Engineering Department. My work is co-supervised by Prof. Roberto Cipolla and Dr Andrew Fitzgibbon.
 
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Background

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>		 Currently, my main area of research is low-rank matrix completion, with a particular focus on the development of new approaches for large-scale matrix factorization problems with missing data in computer vision and machine learning.
 

Research Interests

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  • Low-rank matrix completion
  • Optimization strategies for large-scale problems in computer vision and machine learning
  • Large-scale structure-from-motion
 

Publications

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