Yunchen Yang — accepted AI-conference papers

2020

Robust Homography Estimation via Dual Principal Component Pursuit

Tianjiao Ding, Yunchen Yang, Zhihui Zhu, Daniel P. Robinson, Rene Vidal, Laurent Kneip +1

CVPR 2020poster

We revisit robust estimation of homographies over point correspondences between two or three views, a fundamental problem in geometric vision. The analysis serves as a platform to support a rigorous investigation of Dual Principal Component Pursuit (DPCP) as a valid and powerful alternative to RANSA…

Cited by 22 PDF ↗Scholar ↗

2019

Noisy Dual Principal Component Pursuit

Tianyu Ding, Zhihui Zhu, Tianjiao Ding, Yunchen Yang, Rene Vidal, Manolis Tsakiris +1

ICML 2019oral

Dual Principal Component Pursuit (DPCP) is a recently proposed non-convex optimization based method for learning subspaces of high relative dimension from noiseless datasets contaminated by as many outliers as the square of the number of inliers. Experimentally, DPCP has proved to be robust to noise…

Cited by 24 Source ↗PDF ↗Scholar ↗