Rui Yu

Staff Research Engineer · Apple

February 2019 – present

Computer vision and machine learning. Previously Computer Vision Engineer.

Computer Vision Engineer · DJI

2017 – January 2019

3D computer vision.

PhD in Computer Vision · University College London

2013–2017

Advisors: Lourdes Agapito and Chris Russell.

Doctoral research in Computer Vision · Queen Mary University of London

2012–2013

Advisors: Lourdes Agapito and Chris Russell. Continued doctoral research at UCL.

Master’s degree in Computer Vision · Northwestern Polytechnical University

2009–2012

Advisors: Yanning Zhang and Tao Yang.

Bachelor’s degree in Computer Science · Northwestern Polytechnical University

2005–2009

Learning Dense 3D Models from Monocular Video

PhD thesis, University College London. Dense 3D reconstruction of dynamic scenes and deformable objects using a single camera.

Read thesis

Vision-based autonomous landing of an unmanned aerial vehicle

Master’s thesis. A real-time vision-based autonomous landing system.

Real-time multi-view 3D reconstruction

A multi-camera reconstruction system that shares vertices during voxel splitting. The original system achieved 10 frames per second with eight cameras on an Intel i7-950 PC with 4 GB of RAM.

Vision-based autonomous UAV landing

A real-time landing system using a visible high-brightness flashlight for localization at distances up to 400 metres, including strong lighting conditions. Demonstrated autonomous landings without differential GPS and participated in the AVIC Cup International UAV Innovation Grand Prix.

Seeing and tracking through occlusion

A real-time system combining multi-camera detection, synthetic aperture imaging, and multi-person tracking. A hybrid imaging model helps locate and observe people in challenging, occluded scenes. Research published at CVPR 2011.

PangaeaTracking

Dense, template-based deformable 3D tracking.

VideoPopup

Monocular reconstruction of dynamic scenes.

PyTorch DeMoN

Code linked from my previous CV.