ChristianRupprecht

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

Christian Rupprecht

Contact

Christian Rupprecht

  • Email: christian.rupprecht|[at]|in.tum.de

  • Address:

Chair for Computer Aided Medical Procedures & Augmented Reality
Fakultät für Informatik
Technische Universität München
Boltzmannstr. 3
85748 Garching b. München

News

I am reviewing for (selection):

  • Conferences: CVPR, ICCV, ECCV, ACCV, BMVC, 3DV, IROS
  • Journals: CVIU

Student Projects

Feel free to contact me to any of the following projects or if you have your own project/thesis ideas. Sometimes I have proposals not yet added to the list below.

Available

Running
DA/MA/BAAction Recognition and Generation With RNNs
(Huseyin Coskun, Christian Rupprecht, Federico Tombari, Prof. Nassir Navab)
DA/MA/BAAdversarial Multiple Hypothesis Prediction
(Christian Rupprecht, Iro Laina, Federico Tombari, Prof. Nassir Navab)
Master ThesisDeep Intrinsic Image Decomposition
(Christian Rupprecht, Iro Laina, Federico Tombari, Prof. Nassir Navab)

Finished
Master ThesisActive Contours for Cardiac Segmentation
(Maximilian Baust, Christian Rupprecht, Prof. Nassir Navab)
DA/MA/BATracking using Autoencoders and Manifolds
(Christian Rupprecht, Federico Tombari, Prof. Nassir Navab)
Master ThesisWebly supervised human activity recognition
(Federico Tombari, Lamberto Ballan; Christian Rupprecht, Prof. Nassir Navab)
Bachelor ThesisDeep Stereo
(Christian Rupprecht, Federico Tombari, Prof. Nassir Navab)
Bachelor ThesisFeature Visualization for Deep Neural Networks
(Christian Rupprecht, Federico Tombari, Prof. Nassir Navab)
Master ThesisHigh Dimensional Regression Using Deep Neural Networks
(Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, Nassir Navab)

Supervised Students

current

Nan Liu, Dominik Drexler, Marat Seroglazov, Udo Dehm, Sanjeev Kumar, Ignacio Sarasúa

previous

Iro Laina, Sergey Zakharov, Henry Martin, Felix Grün, Christoph Kick, Adam Kosiorek, Ansh Kapil, Nan Yang, Elizabeth Huaroc, Bharti Munjal

Teaching

Feature Visualization for MatConvNet

We have developed a CNN feature visualization library on top of MatConvNet. Have a look at the project page.

List of Publications

2017
C. Rupprecht, I. Laina, R. DiPietro, M. Baust, F. Tombari, N. Navab, G. D. Hager
Learning in an Uncertain World: Representing Ambiguity Through Multiple Hypotheses
International Conference on Computer Vision (ICCV 2017), Venice, Italy, October 2017 (bib)
I. Laina, N. Rieke, C. Rupprecht, J. Page Vizcaino, A. Eslami, F. Tombari, N. Navab
Concurrent Segmentation and Localization for Tracking of Surgical Instruments
Accepted to Proceedings of the 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec, Canada, September 2017.
A pre-print version is available online at arXiv.
The first two authors contribute equally to this paper.
(bib)
C. Rupprecht, A. Kapil, N. Liu, L. Ballan, F. Tombari
Learning without prejudice: Avoiding bias in webly-supervised action recognition
Computer Vision and Image Understanding (bib)
2016
I. Laina, C. Rupprecht, V. Belagiannis, F. Tombari, N. Navab
Deeper Depth Prediction with Fully Convolutional Residual Networks (Oral Presentation)
International Conference on 3DVision (3DV), Stanford University, California, USA, October 2016.
The first two authors contribute equally to this paper.
(bib)
F. Dubost, L. Peter, C. Rupprecht, B. Gutierrez-Becker, N. Navab
Hands-Free Segmentation of Medical Volumes via Binary Inputs
MICCAI Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, Athens, Greece, October 2016 (bib)
C. Rupprecht, C. Lea, F. Tombari, N. Navab, G. D. Hager
Sensor Substitution for Video-based Action Recognition
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016), Daejeon, Korea, October 2016 (bib)
F. Grün, C. Rupprecht, N. Navab, F. Tombari
A Taxonomy and Library for Visualizing Learned Features in Convolutional Neural Networks
International Conference on Machine Learning (ICML) Workshop on Visualization for Deep Learning, New York, USA, June 23rd, 2016 (bib)
2015
V. Belagiannis, C. Rupprecht, G. Carneiro, N. Navab
Robust Optimization for Deep Regression
International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015 (supplementary mat.) (bib)
C. Rupprecht, L. Peter, N. Navab
Image Segmentation in Twenty Questions
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Boston, Massachusetts (USA), June 2015 (bib)
2013
C. Rupprecht, O. Pauly, C. Theobalt, S. Ilic
3D Semantic Parameterization for Human Shape Modeling: Application to 3D Animation. (Oral Presentation)
In Proc. International Conference on 3D Vision (3DV 2013) (bib)

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Title: M.Sc.
Circumference of your head (in cm):  
Firstname: Christian
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Lastname: Rupprecht
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Nationality: Cosmopolitan
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Groups: Surgical Workflow, Segmentation, Reconstruction, Computer Vision, Medical Augmented Reality, Machine Learning for Medical Applications
Expertise: Computer Vision
Position: Scientific Staff
Status: Active
Emailbefore: christian.rupprecht
Emailafter: in.tum.de
Room: MI 03.13.041
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