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Björn Häfner

PhD StudentTechnische Universität München

Department of Computer Science
Informatik 9
Boltzmannstrasse 3
85748 Garching
Germany

Tel: +49-89-289-17784
Fax: +49-89-289-17757
Office: 02.09.053
Mail: bjoern.haefner@tum.de

Research Interests

I am interested in RGB-D data processing for 3D reconstruction using variational methods, especially super-resolution and photometric techniques.

Brief Bio

I received my B.Sc. in Mathematics from the OTH Regensburg in 2013 and my M.Sc. in Mathematics in Science and Engineering from the Technical University of Munich in 2016. Since mid November 2016, I am a PhD student in the Computer Vision Group, headed by Prof. Dr. Daniel Cremers at TUM.

Publications


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Journal Articles
2019
[]Photometric Depth Super-Resolution (Haefner, B., Peng, S., Verma, A., Quéau, Y. and Cremers, D.), In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019. ([supp] [project page] [ieeexplore]) [bibtex] [arXiv:1809.10097] [pdf]
Conference and Workshop Papers
2020
[]Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach (Sang, L., Haefner, B. and Cremers, D.), In IEEE Winter Conference on Applications of Computer Vision (WACV), 2020.  [bibtex]
2019
[]Photometric Segmentation: Simultaneous Photometric Stereo and Masking (Haefner, B., Quéau, Y. and Cremers, D.), In International Conference on 3D Vision (3DV), 2019. ([poster]) [bibtex] [pdf]Spotlight Presentation
[]Variational Uncalibrated Photometric Stereo under General Lighting (Haefner, B., Ye, Z., Gao, M., Wu, T., Quéau, Y. and Cremers, D.), In International Conference on Computer Vision (ICCV), 2019. ([supp]) [bibtex] [arXiv:1904.03942] [pdf]
2018
[]Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading (Haefner, B., Quéau, Y., Möllenhoff, T. and Cremers, D.), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. ([supp] [poster] [code] [cvf] [video]) [bibtex] [pdf] [video]Spotlight Presentation
2017
[]Depth Super-Resolution Meets Uncalibrated Photometric Stereo (Peng, S., Haefner, B., Quéau, Y. and Cremers, D.), In International Conference on Computer Vision Workshops (ICCVW), 2017. ([code] [cvf]) [bibtex] [arXiv:1708.00411] [pdf]Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision
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Talks

Reviewing Committee

  • ICCV 2019
  • CVPR 2019

Student Supervision

Successfully defended works:

Name Project Topic
Mohammed Brahimi Master's Thesis "Theoretical Analysis of the GBR and Lorentz Ambiguity of Uncalibrated Photometric Stereo"
Christoph Kick Interdisciplinary Project in Mathematics "Reflectance and geometry estimation using nonlinear optimization of the Cook-Torrance model"
Alok Verma Project Management and Software Development for Medical Applications "Depth Super-Resolution using Shape-from-Shading and Reflectance Learning" Resulting Paper (Section 4)

Teaching

Summer 2019 - Seminar (organizer and supervisor)
Seminar: Recent Advances in 3D Computer Vision (2h / 5 ECTS)

Winter 2018/19 - Seminar (organizer and supervisor)
Seminar: Recent Advances in 3D Computer Vision (2h / 5 ECTS)

Summer 2018 - Practical Course (organizer, lecturer and tutor)
GPU Programming in Computer Vision (6h / 10 ECTS)

Winter 2017/18 - Discrete Structures (tutor)
Diskrete Strukturen

Summer 2017 - Practical Course (organizer, lecturer and tutor)
GPU Programming in Computer Vision (6h / 10 ECTS)

Connect

Rechte Seite

Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching

info@vision.in.tum.de