News

Mon, 06/22/2020

Check out our new preprint on proposing a general and practical framework for designing certifiably robust perception algorithms in the presence of a large amount of outliers:

One Ring to Rule Them All:...

Sat, 06/06/2020

Our paper "Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection" wins the Best Paper Award in Robotic Vision at ICRA 2020!

Check out the video presentation of the paper here: https...

Fri, 05/08/2020

I’d like to share an interesting dynamical perspective on point cloud registration. The process of registering two point clouds is considered as a dynamical system, where one dynamic point cloud moves towards the other static point cloud under forces and torques induced by virtual springs and...

Tue, 03/24/2020

Check out our #CVPR2020 paper on Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks in a single image. Camera-ready version here:

https://arxiv.org/abs/1911.11924.

 

Fri, 01/24/2020

Super excited to share our new work: “TEASER: Fast and Certifiable Point Cloud Registration”

Paper: https://arxiv.org/pdf/2001.07715.pdf

Code: https://github....

Tue, 01/21/2020

Our paper "Graduated Non-Convexity for Robust Spatial Perception: From Non-Minimal Solvers to Global Outlier Rejection" has been accepted to publish at the IEEE Robotics and Automation Letters (RA-L)! The final...

Thu, 11/28/2019

In our new arXiv preprint: In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks, we present Shape*, the first certifiably optimal non-minimal...

Wed, 10/16/2019

I am glad to release "Hands-on Tutorial on Global Optimization in Matlab", which demonstrates the power of semidefinite relaxations in globally solving non-convex computer vision problems that used to be known as NP-hard. This tutorial uses rotation averaging and pose graph optimization as an...