BenjaminBusam

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Benjamin Busam

Contact Information

Benni Benjamin Busam

Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching bei München
Room: MI 03.13.044
Interdisziplinäres Forschungslabor
Klinikum rechts der Isar
Technische Universität München
Ismaninger Str. 22
81675 München
Room: 01.01.03a-c







xing_logo

LinkedIn_logo




Google ScholarScholar

Brief Bio

Benjamin Busam is a Senior Research Scientist with the Computer Vision Group at the Chair for Computer Aided Medical Procedures, TUM. Formerly Head of Research at FRAMOS Imaging Systems, he led the 3D Computer Vision Team at Huawei Research, London from 2018 to 2020. Benjamin studied Mathematics at the Technical University of Munich. In his subsequent postgraduate programme, he continued in Mathematics and Physics at ParisTech, France and at the University of Melbourne, Australia, before he graduated with distinction at TU Munich in 2014. In continuation to a mathematical focus on Projective Geometry and 3D point cloud matching, he now works on 2D/3D computer vision for pose estimation, depth mapping and mobile AR as well as multi-modal sensor fusion. For his work on adaptable high-resolution real-time stereo tracking he received the EMVA Young Professional Award 2015 from the European Machine Vision Association and was awarded Innovation Pioneer of the Year 2019 by Noah's Ark Laboratory, London.

Research Interests

  • 3D Computer Vision
  • Sensor Fusion
  • Efficient Depth Mapping
  • Stereo Imaging and Point Cloud Matching
  • AR and SLAM
  • Machine Learning, Deep Learning and Neural Networks, Reinforcement Learning
  • Projective Geometry and Invariant Theory

Teaching

Show previous Teaching

Projects

There are always available topics in 3D vision for Master's theses and PhD students with potential industry support.
Our partner Huawei is constantly looking for motivated working students, graduates and young professionals. Internships in different fields of application in computer vision are offered.
If you are interested in writing your thesis in 3D vision or some industry experience don't hesitate in contacting me.

Here is a list of current and previous projects:
Semester Type Topic By Material
2020 SS MSc Thesis Self-supervised Depth Estimation from Polarization Imagery Barnabé Mas  
2020 SS Practical Project Depth-aware Mixed Reality: Capture the AR-Flag Muhammad Faizan
Ihsan B. Balaban
Jeremias Neth
 
2019/20 WS MSc Thesis 6D Pose Tracking as an Action Decision Process HyunJun Jung  
2019 SS MSc Thesis Minimal Euclidean Pose Embeddings Konstantinos Zacharis  
2018/19 WS Practical Project Observing Environment Statistics - Anomaly Detection Elias Marquart
Tobias Eder
Varnika Tyagi
 
2018/19 WS Practical Project Mobile Indoor Navigation Nour AlOrjany?
Ritvik Ranadive
Stefano Gasperini
 
2018/19 WS Seminar Presentation CodeSLAM? - Learning a Compact, Optimisable Representation for Dense Visual SLAM Hooriya Anam Paper
2018/19 WS Lab Course Spatio-temporal Depth Estimation in Real-Time HyunJun Jung Project Proposal
KickOff

Show previous projects

Awards and Scholarships

Talks and Presentations

Show previous Talks and Presentations

Publications

2020
D. Hernandez-Juarez, S. Parisot, B. Busam, A. Leonardis, G. Slabaugh, S. McDonagh?
A Multi-Hypothesis Approach to Color Constancy
Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, June 2020 (bib)
M. Saleh, S. Dehghani, B. Busam, N. Navab, F. Tombari
Graphite: Graph-Induced feaTure Extraction for Point Cloud Registration
3DV Oral 2020 (bib)
B. Busam, H. J. Jung, N. Navab
I Like to Move It: 6D Pose Estimation as an Action Decision Process
arXiv, September 2020 (bib)
F. Manhardt, G. Wang, B. Busam, M. Nickel, S. Meier, L. Minciullo, X. Ji, N. Navab
CPS++: Improving Class-level 6D Pose and Shape Estimation From Monocular Images With Self-Supervised Learning
arXiv/2003.05848v3, September 2020 (bib)
A. Lopez-Rodriguez, B. Busam, K. Mikolajczyk
Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor Data
Asian Conference on Computer Vision (ACCV), Kyoto, Japan, November 2020 [oral]. (bib)
P. Ruhkamp, R. Gong, N. Navab, B. Busam
DynaMiTe: A Dynamic Local Motion Model with Temporal Constraints for Robust Real-Time Feature Matching
arXiv, July 2020 (bib)
A. Barroso-Laguna, Y. Verdie, B. Busam, K. Mikolajczyk
HDD-Net: Hybrid Detector Descriptor with Mutual Interactive Learning
Asian Conference on Computer Vision (ACCV), Kyoto, Japan, November 2020 (bib)
2019
F. Manhardt, D. Arroyo, C. Rupprecht, B. Busam, T. Birdal, N. Navab, F. Tombari
Explaining the Ambiguity of Object Detection and 6D Pose From Visual Data
International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019 (bib)
B. Busam, M. Hog, S. McDonagh?, G. Slabaugh
SteReFo: Efficient Image Refocusing with Stereo Vision
International Conference on Computer Vision Workshop (ICCVW), Seoul, Korea, November 2019 [oral]. (bib)
T. Birdal, B. Busam, N. Navab, S. Ilic, P. Sturm
Generic Primitive Detection in Point Clouds Using Novel Minimal Quadric Fits
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2019 (bib)
2018
B. Busam, P. Ruhkamp, S. Virga, B. Lentes, J. Rackerseder, N. Navab, C. Hennersperger
Markerless Inside-Out Tracking for 3D Ultrasound Compounding
International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Point-of-Care Ultrasound, Granada, Spain, September 2018 [oral]. (bib)
T. Birdal, B. Busam, N. Navab, S. Ilic, P. Sturm
A Minimalist Approach to Type-Agnostic Detection of Quadrics in Point Clouds
IEEE Computer Vision and Pattern Recognition (CVPR), Salt Lake City, United States, June 2018 (bib)
2017
B. Busam, T. Birdal, N. Navab
Camera Pose Filtering with Local Regression Geodesics on the Riemannian Manifold of Dual Quaternions
International Conference on Computer Vision Workshop (ICCVW) on Multiview Relationships in 3D Data, Venice, Italy, October 2017 [oral]. (bib)
2016
B. Busam, M. Esposito, B. Frisch, N. Navab
Quaternionic Upsampling: Hyperspherical Techniques for 6 D-o-F Pose Tracking
International Conference on 3DVision (3DV), Stanford University, California, USA, October 2016 (bib)
M. Esposito, B. Busam, C. Hennersperger, J. Rackerseder, N. Navab, B. Frisch
Multimodal US-Gamma Imaging using Collaborative Robotics for Cancer Staging Biopsies
International Journal of Computer Assisted Radiology and Surgery (bib)
2015
B. Busam, M. Esposito, S. Che'Rose, N. Navab, B. Frisch
A Stereo Vision Approach for Cooperative Robotic Movement Therapy
International Conference on Computer Vision Workshop (ICCVW), Santiago, Chile, December 2015 [oral]. (bib)
M. Esposito, B. Busam, C. Hennersperger, J. Rackerseder, A. Lu, N. Navab, B. Frisch
Cooperative Robotic Gamma Imaging: Enhancing US-guided Needle Biopsy
Proceedings of the 18th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Munich, Germany, October 2015 [oral]. (bib)


UsersForm
Title: M.Sc.
Circumference of your head (in cm):  
Firstname: Benjamin
Middlename:  
Lastname: Busam
Picture: profile_cut.jpg
Birthday: 07.09.1987
Nationality: Cosmopolitan
Languages: English, German, French
Groups: Computer Vision, IFL
Expertise: Registration/Visualization, Computer Vision
Position: Guest
Status: Active
Emailbefore: b.busam
Emailafter: tum.de
Room: MI 03.13.009B
Telephone: +49 (89) 710 667 243
Alumniactivity:  
Defensedate:  
Thesistitle:  
Alumnihomepage:  
Personalvideo01:  
Personalvideotext01:  
Personalvideopreview01:  
Personalvideo02:  
Personalvideotext02:  
Personalvideopreview02:  


Edit | Attach | Refresh | Diffs | More | Revision r1.143 - 04 Nov 2020 - 22:58 - BenjaminBusam

Lehrstuhl für Computer Aided Medical Procedures & Augmented Reality    rss.gif