Rich, Structured Models for Scene Recovery, Understanding and Interaction

Project Information

RSM

Grant agreement ID: 647769

DOI 10.3030/647769

Project closed

EC signature date 1 July 2015

Start date 1 October 2015

End date 30 September 2021

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 1 998 281,00

EU contribution € 1 998 281,00

Coordinated by

RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG
Germany

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (16)

Random forests versus Neural Networks — What's best for camera localization?

Author(s): Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H.S. Torr
Published in: 2017 IEEE International Conference on Robotics and Automation (ICRA), 2017, Page(s) 5118-5125, ISBN 978-1-5090-4633-1
Publisher: IEEE
DOI: 10.1109/ICRA.2017.7989598

Bounding Boxes, Segmentations and Object Coordinates: How Important is Recognition for 3D Scene Flow Estimation in Autonomous Driving Scenarios?

Author(s): Aseem Behl, Omid Hosseini Jafari, Siva Karthik Mustikovela, Hassan Abu Alhaija, Carsten Rother, Andreas Geiger
Published in: 2017 IEEE International Conference on Computer Vision (ICCV), 2017, Page(s) 2593-2602, ISBN 978-1-5386-1032-9
Publisher: IEEE
DOI: 10.1109/ICCV.2017.281

Uncertainty-Driven 6D Pose Estimation of Objects and Scenes from a Single RGB Image

Author(s): Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang, Stefan Gumhold, Carsten Rother
Published in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Page(s) 3364-3372, ISBN 978-1-4673-8851-1
Publisher: IEEE
DOI: 10.1109/CVPR.2016.366

Global Hypothesis Generation for 6D Object Pose Estimation

Author(s): Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother
Published in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 115-124, ISBN 978-1-5386-0457-1
Publisher: IEEE
DOI: 10.1109/CVPR.2017.20

PoseAgent: Budget-Constrained 6D Object Pose Estimation via Reinforcement Learning

Author(s): Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother
Published in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 2566-2574, ISBN 978-1-5386-0457-1
Publisher: IEEE
DOI: 10.1109/CVPR.2017.275

Analyzing modular CNN architectures for joint depth prediction and semantic segmentation

Author(s): Omid Hosseini Jafari, Oliver Groth, Alexander Kirillov, Michael Ying Yang, Carsten Rother
Published in: 2017 IEEE International Conference on Robotics and Automation (ICRA), 2017, Page(s) 4620-4627, ISBN 978-1-5090-4633-1
Publisher: IEEE
DOI: 10.1109/ICRA.2017.7989537

DSAC — Differentiable RANSAC for Camera Localization

Author(s): Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother
Published in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 2492-2500, ISBN 978-1-5386-0457-1
Publisher: IEEE
DOI: 10.1109/CVPR.2017.267

Learning to Push the Limits of Efficient FFT-Based Image Deconvolution

Author(s): Jakob Kruse, Carsten Rother, Uwe Schmidt
Published in: 2017 IEEE International Conference on Computer Vision (ICCV), 2017, Page(s) 4596-4604, ISBN 978-1-5386-1032-9
Publisher: IEEE
DOI: 10.1109/ICCV.2017.491

Lost and Found: detecting small road hazards for self-driving vehicles

Author(s): Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester
Published in: 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2016, Page(s) 1099-1106, ISBN 978-1-5090-3762-9
Publisher: IEEE
DOI: 10.1109/IROS.2016.7759186

A Study of Lagrangean Decompositions and Dual Ascent Solvers for Graph Matching

Author(s): Paul Swoboda, Carsten Rother, Hassan Abu Alhaija, Dagmar Kainmuller, Bogdan Savchynskyy
Published in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Page(s) 7062-7071, ISBN 978-1-5386-0457-1
Publisher: IEEE
DOI: 10.1109/CVPR.2017.747

Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling

Author(s): Sebastian Ramos, Stefan Gehrig, Peter Pinggera, Uwe Franke, Carsten Rother
Published in: 2017 IEEE Intelligent Vehicles Symposium (IV), 2017, Page(s) 1025-1032, ISBN 978-1-5090-4804-5
Publisher: IEEE
DOI: 10.1109/IVS.2017.7995849

Mapping Auto-context Decision Forests to Deep ConvNets for Semantic Segmentation

Author(s): David Richmond, Dagmar Kainmueller, Michael Yang, Eugene Myers, Carsten Rother
Published in: Procedings of the British Machine Vision Conference 2016, 2016, Page(s) 144.1-144.12, ISBN 1-901725-59-6
Publisher: British Machine Vision Association
DOI: 10.5244/C.30.144

Convexity Shape Constraints for Image Segmentation

Author(s): Loic A. Royer, David L. Richmond, Carsten Rother, Bjoern Andres, Dagmar Kainmueller
Published in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Page(s) 402-410, ISBN 978-1-4673-8851-1
Publisher: IEEE
DOI: 10.1109/CVPR.2016.50

Inferring M-Best Diverse Labelings in a Single One

Author(s): Alexander Kirillov, Bogdan Savchynskyy, Dmitrij Schlesinger, Dmitry Vetrov, Carsten Rother
Published in: 2015 IEEE International Conference on Computer Vision (ICCV), 2015, Page(s) 1814-1822, ISBN 978-1-4673-8391-2
Publisher: IEEE
DOI: 10.1109/ICCV.2015.211

Smart Ubiquitous Projection - Discovering Surfaces for the Projection of Adaptive Content

Author(s): Fabrice Matulic, Wolfgang Büschel, Michael Ying Yang, Stephan Ihrke, Anmol Ramraika, Carsten Rother, Raimund Dachselt
Published in: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems - CHI EA '16, 2016, Page(s) 2592-2600, ISBN 9781-450340823
Publisher: ACM Press
DOI: 10.1145/2851581.2892545

Learning Analysis-by-Synthesis for 6D Pose Estimation in RGB-D Images

Author(s): Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother
Published in: 2015 IEEE International Conference on Computer Vision (ICCV), 2015, Page(s) 954-962, ISBN 978-1-4673-8391-2
Publisher: IEEE
DOI: 10.1109/ICCV.2015.115

Peer reviewed articles (2)

Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes

Author(s): Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars Mescheder, Andreas Geiger, Carsten Rother
Published in: International Journal of Computer Vision, 2018, ISSN 0920-5691
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s11263-018-1070-x

Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction

Author(s): Anurag Arnab, Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Mans Larsson, Alexander Kirillov, Bogdan Savchynskyy, Carsten Rother, Fredrik Kahl, Philip H.S. Torr
Published in: IEEE Signal Processing Magazine, Issue 35/1, 2018, Page(s) 37-52, ISSN 1053-5888
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/MSP.2017.2762355