Wide-Depth-Range 6D Object Pose Estimation in Space, CVPR 2021

Segmentation-driven 6D Object Pose Estimation. CVPR 2019.

An embeddable neural network for 6D Spacecract Pose Estimation

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simul…

Perspective Flow Aggregation for Data-Limited 6D Object Pose Estimation. ECCV 2022.

Single-Stage 6D Object Pose Estimation, CVPR 2020

🚀 A neural network for monocular spacecraft 6D pose estimation: 3rd place solution of the European Space Agency’s pose estimation challenge

MATLAB Deep Learning Toolbox implementation of CNN used in baseline studies of SPEED-UE-Cube dataset

Two methods for solving domain gap in satellite pose estimation in space exploiting vision Transformers.