Contact Christian Rupprecht Email: christian.rupprecht|[at]|in.tum.de Google Scholar Homepage

News

• All recent news are now here.
• I have joined VGG in Oxford.
• One paper accepted at CVPR 2018 (reference & arxiv coming soon)
• I am spending 4 months as an intern at MILA with Chris Pal until May 2018
• BaCaTeC funded project with Leonidas J. Guibas on 3D reconstruction and retrieval
• I presented at the Doctoral Consortium at ICCV 2017
• One paper accepted at CVIU
• Talk at Nvidia GTC in San Jose, California on deep learning for 3D scene understanding.
• One paper accepted at ICCV 2017
• One paper accepted at MICCAI 2017
• One paper accepted at Nature Scientific Reports
• One paper accepted at 3DV 2016
• One paper accepted at LABELS 2016
• Depth Prediction GitHub page is online.
• One paper accepted at IROS 2016
• BaCaTeC funded project with Silvio Savarese and Lamberto Ballan on Webly supervised human activity recognition
• Our Feature Visualization was presented at an ICML workshop
• One paper accepted at ICCV 2015
• One paper accepted at CVPR 2015

I am reviewing for (selection):

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

Student Projects

Running

Finished
Master Thesis	Explained Predictions for Neural Networks (Christian Rupprecht, Iro Laina, Federico Tombari, Prof. Nassir Navab)
DA/MA/BA	Weakly supervised semantic segmentation via multiple hypothesis prediction (Iro Laina, Christian Rupprecht, Federico Tombari, Nassir Navab)
DA/MA/BA	Action Recognition and Generation With RNNs (Huseyin Coskun, Christian Rupprecht, Federico Tombari, Prof. Nassir Navab)
DA/MA/BA	Adversarial Multiple Hypothesis Prediction (Christian Rupprecht, Iro Laina, Federico Tombari, Prof. Nassir Navab)
Master Thesis	Deep Intrinsic Image Decomposition (Christian Rupprecht, Iro Laina, Federico Tombari, Prof. Nassir Navab)
Master Thesis	Active Contours for Cardiac Segmentation (Maximilian Baust, Christian Rupprecht, Prof. Nassir Navab)
DA/MA/BA	Tracking using Autoencoders and Manifolds (Christian Rupprecht, Federico Tombari, Prof. Nassir Navab)
Master Thesis	Webly supervised human activity recognition (Federico Tombari, Lamberto Ballan; Christian Rupprecht, Prof. Nassir Navab)
Bachelor Thesis	Deep Stereo (Christian Rupprecht, Federico Tombari, Prof. Nassir Navab)
Bachelor Thesis	Feature Visualization for Deep Neural Networks (Christian Rupprecht, Federico Tombari, Prof. Nassir Navab)
Master Thesis	High Dimensional Regression Using Deep Neural Networks (Christian Rupprecht, Vasileios Belagiannis, Federico Tombari, Nassir Navab)

Supervised Students

Iro Laina, Sergey Zakharov, Henry Martin, Felix Grün, Christoph Kick, Adam Kosiorek, Ansh Kapil, Nan Yang, Elizabeth Huaroc, Bharti Munjal, Nan Liu, Ignacio Sarasúa, Udo Dehm, Dominik Drexler, Sanjeev Kumar, Marat Seroglazov

Teaching

• Hauptseminar Recent Trends in 3D Computer Vision and Deep Learning (2017WiSe)
• Praktikum Perception and Learning in Robotics and Augmented Reality (2017SoSe)
• Praktikum Machine Learning in Medical Imaging (2016WiSe)
• Hauptseminar Recent Trends in 3D Computer Vision (2016WiSe)
• Lecture Medical Augmented Reality (2016SoSe)
• Hauptseminar Recent Trends in 3D Computer Vision (2015WiSe)
• Lecture Tracking and Detection in Computer Vision (2015WiSe)

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

2020
	H. Dhamo, A. Farshad, I. Laina, N. Navab, G. D. Hager, F. Tombari, C. Rupprecht Semantic Image Manipulation Using Scene Graphs IEEE Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, June 2020 The first two authors contributed equally. (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)
	I. Laina, N. Navab, C. Rupprecht Towards Unsupervised Image Captioning with Shared Multimodal Embeddings International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019. (bib)
2018
	C. Rupprecht, I. Laina, N. Navab, G. D. Hager, F. Tombari Guide Me: Interacting with Deep Networks Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 2018. Spotlight. The first two authors contribute equally to this paper. (bib)
	G. Ghazaei, I. Laina, C. Rupprecht, F. Tombari, N. Navab, K. Nazarpour Dealing with Ambiguity in Robotic Grasping via Multiple Predictions Asian Conference on Computer Vision and Pattern Recognition (ACCV), Perth, Australia, December 2018. (bib)
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 International Conference on 3DVision (3DV), Stanford University, California, USA, October 2016. Oral presentation. 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)