Eric Brachmann

According to our database, Eric Brachmann authored at least 34 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Robust Shape Fitting for 3D Scene Abstraction.

Florian Kluger, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn

CoRR, 2024

BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects.

Tomas Hodan, Martin Sundermeyer, Yann Labbé, Van Nguyen Nguyen, Gu Wang, Eric Brachmann, Bertram Drost, Vincent Lepetit, Carsten Rother, Jiri Matas

CoRR, 2024

2023

BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects.

Martin Sundermeyer, Tomás Hodan, Yann Labbé, Gu Wang, Eric Brachmann, Bertram Drost, Carsten Rother, Jirí Matas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Accelerated Coordinate Encoding: Learning to Relocalize in Minutes Using RGB and Poses.

Eric Brachmann, Tommaso Cavallari, Victor Adrian Prisacariu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Two-View Geometry Scoring Without Correspondences.

Axel Barroso-Laguna, Eric Brachmann, Victor Adrian Prisacariu, Gabriel J. Brostow, Daniyar Turmukhambetov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Visual Camera Re-Localization From RGB and RGB-D Images Using DSAC.

Eric Brachmann, Carsten Rother

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Camera Pose Estimation and Localization with Active Audio Sensing.

Karren Yang, Michael Firman, Eric Brachmann, Clément Godard

Proceedings of the Computer Vision - ECCV 2022, 2022

Map-Free Visual Relocalization: Metric Pose Relative to a Single Image.

Eduardo Arnold, Jamie Wynn, Sara Vicente, Guillermo Garcia-Hernando, Áron Monszpart, Victor Prisacariu, Daniyar Turmukhambetov, Eric Brachmann

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation.

Eric Brachmann, Martin Humenberger, Carsten Rother, Torsten Sattler

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images.

Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision.

Mehmet Ozgur Turkoglu, Eric Brachmann, Konrad Schindler, Gabriel J. Brostow, Áron Monszpart

Proceedings of the International Conference on 3D Vision, 2021

2020

BOP Challenge 2020 on 6D Object Localization.

Tomás Hodan, Martin Sundermeyer, Bertram Drost, Yann Labbé, Eric Brachmann, Frank Michel, Carsten Rother, Jiri Matas

Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus.

Florian Kluger, Eric Brachmann, Hanno Ackermann, Carsten Rother, Michael Ying Yang, Bodo Rosenhahn

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task.

Aritra Bhowmik, Stefan Gumhold, Carsten Rother, Eric Brachmann

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Expert Sample Consensus Applied to Camera Re-Localization.

Eric Brachmann, Carsten Rother

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Neural-Guided RANSAC: Learning Where to Sample Model Hypotheses.

Eric Brachmann, Carsten Rother

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Learning to Predict Dense Correspondences for 6D Pose Estimation.

Eric Brachmann

Proceedings of the Ausgezeichnete Informatikdissertationen 2018., 2018

Learning to Predict Dense Correspondences for 6D Pose Estimation.

Eric Brachmann

PhD thesis, 2018

BOP: Benchmark for 6D Object Pose Estimation.

Tomas Hodan, Frank Michel, Eric Brachmann, Wadim Kehl, Anders Glent Buch, Dirk Kraft, Bertram Drost, Joel Vidal, Stephan Ihrke, Xenophon Zabulis, Caner Sahin, Fabian Manhardt, Federico Tombari, Tae-Kyun Kim, Jiri Matas, Carsten Rother

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Less Is More - 6D Camera Localization via 3D Surface Regression.

Eric Brachmann, Carsten Rother

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

iPose: Instance-Aware 6D Pose Estimation of Partly Occluded Objects.

Omid Hosseini Jafari, Siva Karthik Mustikovela, Karl Pertsch, Eric Brachmann, Carsten Rother

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

The Best of Both Worlds: Learning Geometry-based 6D Object Pose Estimation.

Omid Hosseini Jafari, Siva Karthik Mustikovela, Karl Pertsch, Eric Brachmann, Carsten Rother

CoRR, 2017

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

Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Global Hypothesis Generation for 6D Object Pose Estimation.

Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

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

Alexander Krull, Eric Brachmann, Sebastian Nowozin, Frank Michel, Jamie Shotton, Carsten Rother

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

DSAC - Differentiable RANSAC for Camera Localization.

Eric Brachmann, Alexander Krull, Sebastian Nowozin, Jamie Shotton, Frank Michel, Stefan Gumhold, Carsten Rother

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Random Forests versus Neural Networks - What's Best for Camera Relocalization?

Daniela Massiceti, Alexander Krull, Eric Brachmann, Carsten Rother, Philip H. S. Torr

CoRR, 2016

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

Eric Brachmann, Frank Michel, Alexander Krull, Michael Ying Yang, Stefan Gumhold, Carsten Rother

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

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

Alexander Krull, Eric Brachmann, Frank Michel, Michael Ying Yang, Stefan Gumhold, Carsten Rother

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Pose Estimation of Kinematic Chain Instances via Object Coordinate Regression.

Frank Michel, Alexander Krull, Eric Brachmann, Michael Ying Yang, Stefan Gumhold, Carsten Rother

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Learning 6D Object Pose Estimation Using 3D Object Coordinates.

Eric Brachmann, Alexander Krull, Frank Michel, Stefan Gumhold, Jamie Shotton, Carsten Rother

Proceedings of the Computer Vision - ECCV 2014, 2014

6-DOF Model Based Tracking via Object Coordinate Regression.

Alexander Krull, Frank Michel, Eric Brachmann, Stefan Gumhold, Stephan Ihrke, Carsten Rother

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

Feature propagation on image webs for enhanced image retrieval.

Eric Brachmann, Marcel Spehr, Stefan Gumhold

Proceedings of the International Conference on Multimedia Retrieval, 2013

2012

Simplified Authentication and Authorization for RESTful Services in Trusted Environments.

Eric Brachmann, Gero Dittmann, Klaus-Dieter Schubert

Proceedings of the Service-Oriented and Cloud Computing - First European Conference, 2012