HumanTech’s Project Coordinator Jason Rambach and Yongzhi Su and Praveen Nathan, scientists at our partner organisation DFKI Augmented Vision Research Unit, have received the first prize in the prestigious BOP Challenge 2022.
In particular, they have won two awards for their Object Pose Estimation method, ZebraPose, in the categories of Overall Best Segmentation Method and Best BlenderProc-Trained Segmentation Method.
The BOP Benchmark and Challenge addresses the problem of the 6-degree-of-freedom object pose estimation, which is crucial for many applications, such as robot grasping or augmented reality.
This year, the BOP competition was held in the “Recovering 6D Object Pose” workshop at the European Computer Vision Conference (ECCV) in Tel Aviv, Israel.
The winning method was based on the CVPR 2022 paper “ZebraPose”. It was developed by a team led by DFKI AV, with the collaboration of researchers from the Technical University of Munich and Zhejiang University.
A total prize of $4000 was distributed among the winning teams of the challenge, donated by Meta Reality Labs and Niantic. The awards were received by HumanTech’s Project Coordinator Dr Jason Rambach, who is also a Senior Researcher and Team Leader in Spatial Sensing and Machine Perception at DFKI, on behalf of the DFKI team, who also gave a brief presentation of the method.
Congratulations to all the professionals involved in this milestone!
