Frank Michel

According to our database, Frank Michel authored at least 13 papers between 2014 and 2023.

Collaborative distances:

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

2023

Demonstrating Mobile Manipulation in the Wild: A Metrics-Driven Approach.

Max Bajracharya, James Borders, Richard Cheng, Daniel M. Helmick, Lukas Kaul, Dan Kruse, John Leichty, Jeremy Ma, Carolyn Matl, Frank Michel, Chavdar Papazov, Josh Petersen, Krishna Shankar, Mark Tjersland

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

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

2018

Hypothesis generation for object pose estimation - from local sampling to global reasoning.

Frank Michel

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

A Summary of the 4th International Workshop on Recovering 6D Object Pose.

Tomás Hodan, Rigas Kouskouridas, Tae-Kyun Kim, Federico Tombari, Kostas E. Bekris, Bertram Drost, Thibault Groueix, Krzysztof Walas, Vincent Lepetit, Ales Leonardis, Carsten Steger, Frank Michel, Caner Sahin, Carsten Rother, Jiri Matas

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

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

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