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Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

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Björn Häfner

PhD StudentTechnical University of Munich

School of Computation, Information and Technology
Informatics 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 photometric approaches and super-resolution.

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 have been a PhD student in the Computer Vision Group, headed by Prof. Dr. Daniel Cremers at TUM. In May 2019 I was a visiting Ph.D. student at the GREYC Image Group, Caen, France under supervision of Yvain Quéau. From September 2019 until February 2020 I was interning as Research Intern at Facebook Reality Labs in Cork, Ireland under supervision of Thomas Whelan. From July 2020 until November 2020 I was working part-time at Pro Unlimited @ Facebook as an External Research Collaborator to continue the project of my internship at Facebook Reality Labs. From August 2021 until December 2021 I have been interning as Research Intern at Facebook Reality Labs Research/Reality Labs Research (Meta) under supervision of Daniel Andersen.

Publications


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Book Chapters
2020
[]On the Well-Posedness of Uncalibrated Photometric Stereo Under General Lighting (M Brahimi, Y Quéau, B Haefner and D Cremers), Chapter in (JD Durou, M Falcone, Y Quéau, S Tozza, eds.), Springer International Publishing, 2020.  [bibtex] [doi] [arXiv:1911.07268] [pdf]
Journal Articles
2022
[]A Cutting-Plane Method for Sublabel-Accurate Relaxation of Problems with Product Label Spaces (Z. Ye, B. Haefner, Y. Quéau, T. Möllenhoff and D. Cremers), In International Journal of Computer Vision (IJCV), 2022. ([code]) [bibtex] [doi] [pdf]
2020
[]Photometric Depth Super-Resolution (B. Haefner, S. Peng, A. Verma, Y. Quéau and D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), volume 42, 2020. ([supp] [project page]) [bibtex] [doi] [arXiv:1809.10097] [pdf]
Preprints
2022
[]SupeRVol: Super-Resolution Shape and Reflectance Estimation in Inverse Volume Rendering (M Brahimi, B Haefner, T Yenamandra, B Goldluecke and D Cremers), In arXiv preprint arXiv:2212.04968, 2022. ([supp]) [bibtex] [arXiv:2212.04968] [pdf]
Conference and Workshop Papers
2023
[]High-Quality RGB-D Reconstruction via Multi-View Uncalibrated Photometric Stereo and Gradient-SDF (L Sang, B Haefner, X Zuo and D Cremers), In IEEE Winter Conference on Applications of Computer Vision (WACV), 2023. ([code] ) [bibtex] [arXiv:2210.12202]
2021
[]Sublabel-Accurate Multilabeling Meets Product Label Spaces (Z. Ye, B. Haefner, Y. Quéau, T. Möllenhoff and D. Cremers), In DAGM German Conference on Pattern Recognition (GCPR), 2021. ([presentation] [code]) [bibtex] [doi] [pdf]Oral Presentation
[]Recovering Real-world Reflectance Properties and Shading from HDR Imagery (B. Haefner, S. Green, A. Oursland, D. Andersen, M. Goesele, D. Cremers, R. Newcombe and T. Whelan), In International Conference on 3D Vision (3DV), 2021. ([supp] [slides] [poster] [FB Research] [video]) [bibtex] [doi] [pdf]
2020
[]Inferring Super-Resolution Depth from a Moving Light-Source Enhanced RGB-D Sensor: A Variational Approach (L. Sang, B. Haefner and D. Cremers), In IEEE Winter Conference on Applications of Computer Vision (WACV), 2020. ([poster] [presentation] [code] [cvf]) [bibtex] [doi] [arXiv:1912.06501] [pdf]Spotlight Presentation
2019
[]Variational Uncalibrated Photometric Stereo under General Lighting (B. Haefner, Z. Ye, M. Gao, T. Wu, Y. Quéau and D. Cremers), In IEEE/CVF International Conference on Computer Vision (ICCV), 2019. ([supp] [poster] [matlab] [python] [cvf]) [bibtex] [doi] [arXiv:1904.03942] [pdf]
[]Photometric Segmentation: Simultaneous Photometric Stereo and Masking (B. Haefner, Y. Quéau and D. Cremers), In International Conference on 3D Vision (3DV), 2019. ([poster] [slides]) [bibtex] [doi] [pdf]Spotlight Presentation
2018
[]Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading (B. Haefner, Y. Quéau, T. Möllenhoff and D. Cremers), In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2018. ([supp] [poster] [slides] [code] [cvf] [video]) [bibtex] [doi] [pdf] [video]Spotlight Presentation
2017
[]Depth Super-Resolution Meets Uncalibrated Photometric Stereo (S. Peng, B. Haefner, Y. Quéau and D. Cremers), In IEEE International Conference on Computer Vision Workshops (ICCVW), 2017. ([code][slides] [cvf]) [bibtex] [doi] [arXiv:1708.00411] [pdf]Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision
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Talks

Reviewing Committee

Conferences Journals/Books
ECCV 2020 Springer
ICCV 2019
CVPR 2019

Student Supervision

Successfully defended works:

Name Project Topic Co-Supervisor
Lisa Kaldich Bachelor's Thesis "A Raytracing Framework on the GPU using the NVIDIA OptiX API"
Florian Windolf Master's Thesis "High Quality Depth Maps from RGB-D Keyframes using Shape-from-Shading" Robert Maier
Lu Sang Master's Thesis "A Variational Approach to Depth Super-Resolution using Multi-View Photometric Stereo" Resulting Paper
Christoph Kick Master's Thesis "Cook-Torrance BRDF and Surface Geometry recovery under Near-Light Illumination"
Mohammed Brahimi Master's Thesis "Theoretical Analysis of the GBR and Lorentz Ambiguity of Uncalibrated Photometric Stereo" Resulting Paper Yvain Quéau
Christoph Kick Interdisciplinary Project in Mathematics "Reflectance and geometry estimation using nonlinear optimization of the Cook-Torrance model" Yvain Quéau
Alok Verma Project Management and Software Development for Medical Applications "Depth Super-Resolution using Shape-from-Shading and Reflectance Learning" Resulting Paper (Section 4) Yvain Quéau

Teaching

Winter 2022/23 - Seminar (organizer and supervisor)
Seminar: Recent Advances in 3D Computer Vision (2h / 5 ECTS)
together with Marvin Eisenberger

Summer 2021 - Seminar (organizer and supervisor)
Recent Advances in 3D Computer Vision (2h / 5 ECTS)
together with Christiane Sommer and Mohammed Brahimi

Winter 2020/21 - Seminar (organizer and supervisor)
Seminar: Recent Advances in 3D Computer Vision (2h / 5 ECTS)
together with Zorah Lähner and Mohammed Brahimi

Summer 2020 - Seminar (organizer and supervisor)
Seminar: The Evolution of Motion Estimation and Real-time 3D Reconstruction (2h / 5 ECTS)
together with Christiane Sommer and David Schubert

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

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

Summer 2018 - Practical Course (organizer, lecturer and tutor)
GPU Programming in Computer Vision (6h / 10 ECTS)
together with Robert Maier and David Schubert

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

Summer 2017 - Practical Course (organizer, lecturer and tutor)
GPU Programming in Computer Vision (6h / 10 ECTS)
together with Thomas Möllenhoff and Benedikt Löwenhauser

Connect

Rechte Seite

Informatik IX
Computer Vision Group

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

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News

15.10.2022

NeurIPS 2022

We have two papers accepted to NeurIPS 2022.

15.10.2022

WACV 2023

We have two papers accepted at WACV 2023.

31.08.2022

Fulbright PULSE podcast on Prof. Cremers went online on Apple Podcasts and Spotify.

17.07.2022

MCML Kick-Off

On July 27th, we are organizing the Kick-Off of the Munich Center for Machine Learning in the Bavarian Academy of Sciences.

17.07.2022

AI Symposium

On July 22nd 2022, we are organizing a Symposium on AI within the Technology Forum of the Bavarian Academy of Sciences.

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