Rich, Structured Models for Scene Recovery, Understanding and Interaction

Informations projet

RSM

N° de convention de subvention: 647769

DOI 10.3030/647769

Projet clôturé

Date de signature de la CE 1 Juillet 2015

Date de début 1 Octobre 2015

Date de fin 30 Septembre 2021

Financé au titre de

• EXCELLENT SCIENCE - European Research Council (ERC)

Coût total € 1 998 281,00

Contribution de l’UE € 1 998 281,00

Coordonné par

RUPRECHT-KARLS-UNIVERSITAET HEIDELBERG
Germany

Publications

Conference proceedings (16)

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

Auteurs: Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H.S. Torr
Publié dans: 2017 IEEE International Conference on Robotics and Automation (ICRA), 2017, Page(s) 5118-5125, ISBN 978-1-5090-4633-1
Éditeur: 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?

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

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

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

Global Hypothesis Generation for 6D Object Pose Estimation

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

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

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

Analyzing modular CNN architectures for joint depth prediction and semantic segmentation

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

DSAC — Differentiable RANSAC for Camera Localization

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

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

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

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

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

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

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

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

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

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

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

Convexity Shape Constraints for Image Segmentation

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

Inferring M-Best Diverse Labelings in a Single One

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

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

Auteurs: Fabrice Matulic, Wolfgang Büschel, Michael Ying Yang, Stephan Ihrke, Anmol Ramraika, Carsten Rother, Raimund Dachselt
Publié dans: 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
Éditeur: ACM Press
DOI: 10.1145/2851581.2892545

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

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

Peer reviewed articles (2)

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

Auteurs: Hassan Abu Alhaija, Siva Karthik Mustikovela, Lars Mescheder, Andreas Geiger, Carsten Rother
Publié dans: International Journal of Computer Vision, 2018, ISSN 0920-5691
Éditeur: 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

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