Mobile Perception Lab

Welcome to the website of the Mobile Perception Lab led by Prof. Laurent Kneip. Our lab was founded in September 2017 and is part of the School of Information Science and Technology at ShanghaiTech.


MPL members

Our mission is to develop next-generation 3D perception systems for mobile applications, such as robotics, intelligent vehicles, or augmented reality. We use cameras as a primary sensing modality. Through our research, we hope to provide machines with robust, accurate, and efficient scene understanding capabilities, where the generated models cover all aspects reaching from low-level geometry to higher level scene composition, dynamics, and semantic meaning. We achieve this goal by combining both classical, model-based and modern, data-driven techniques (i.e. deep learning). We furthermore explore the potential of novel camera architectures, such as multi-perspective camera arrays, light-field cameras, and event-based sensors.


MPL is also affiliated with the ShanghaiTech Automation and Robotics Center (STAR Center) and Visual Intelligence Center.

News

July 9, 2018

ECCV paper on event-based vision accepted!

The fruits of our collaboration with RPG from University of Zurich.


June 25, 2018

New PhD student

Peng Xin from CAS has joined MPL as a new PhD student. Welcome to the team!


June 14, 2018

PAMI paper accepted

Our paper on globally optimal correspondence-less camera resectioning winning a Marr Prize Honourable Mention has been accepted to PAMI!.


March 30, 2018

Oral at CVPR'18!

Our work on globally optimal, non-minimal calibrated relative pose will be presented orally at CVPR'18.


March 30, 2018

Oral at CVPR'18!

Our work on globally optimal, non-minimal calibrated relative pose will be presented orally at CVPR'18.


March 23, 2018

New graduate student

Welcome Zhanpeng Ouyang from Nanchang University to join our team!


March 23, 2018

MPL web presence goes live!

We are excited to get started, and here is where you will be able to check out on our progress as we go. We'd love to get feedback from you!


December, 2017

Marr Prize Honourable Mention

Our ICCV'17 work "Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence" received a Marr Prize Honourable Mention! The Marr Prize is the most prestigious best paper award in the computer vision community.


Video Highlights

March 23, 2018

Coming soon!