Yann Labbé

According to our database, Yann Labbé authored at least 11 papers between 2020 and 2024.

Collaborative distances:

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

2024

FoundPose: Unseen Object Pose Estimation with Foundation Features.

Evin Pinar Örnek, Yann Labbé, Bugra Tekin, Lingni Ma, Cem Keskin, Christian Forster, Tomas Hodan

Proceedings of the Computer Vision - ECCV 2024, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Pose estimation of rigid objects and robots. (Estimation de pose d'objets rigides et de robots).

Yann Labbé

PhD thesis, 2023

FocalPose++: Focal Length and Object Pose Estimation via Render and Compare.

Martin Cífka, Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Vladimír Petrík, Josef Sivic

CoRR, 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

2022

Focal Length and Object Pose Estimation via Render and Compare.

Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare.

Yann Labbé, Lucas Manuelli, Arsalan Mousavian, Stephen Tyree, Stan Birchfield, Jonathan Tremblay, Justin Carpentier, Mathieu Aubry, Dieter Fox, Josef Sivic

Proceedings of the Conference on Robot Learning, 2022

2021

Single-View Robot Pose and Joint Angle Estimation via Render & Compare.

Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic

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

2020

Monte-Carlo Tree Search for Efficient Visually Guided Rearrangement Planning.

Yann Labbé, Sergey Zagoruyko, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, Josef Sivic

IEEE Robotics Autom. Lett., 2020

CosyPose: Consistent Multi-view Multi-object 6D Pose Estimation.

Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic

Proceedings of the Computer Vision - ECCV 2020, 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