Understanding human hand and object interaction is fundamental for meaningfully interpreting human action and behavior.

With the advent of deep learning and RGB-D sensors, pose estimation of isolated hands or objects has made significant progress.

However, despite a strong link to real applications such as augmented and virtual reality, joint reconstruction of hand and object has received relatively less attention.

This task focuses on accurately reconstructing hand-object interactions in three-dimensional space, given a single RGB image.

• Programming in Python
• Knowledge about Deep Learning
• Knowledge about Pytorch