no code implementations • 27 Sep 2017 • Gilad Lerman, Yunpeng Shi, Teng Zhang
We establish exact recovery for the Least Unsquared Deviations (LUD) algorithm of Ozyesil and Singer.
no code implementations • NeurIPS 2020 • Yunpeng Shi, Shaohan Li, Gilad Lerman
We propose an efficient and robust iterative solution to the multi-object matching problem.
no code implementations • ICML 2020 • Yunpeng Shi, Gilad Lerman
We propose an efficient algorithm for solving robust group synchronization given adversarially corrupted group ratios.
no code implementations • CVPR 2022 • Shaohan Li, Yunpeng Shi, Gilad Lerman
Previous partial permutation synchronization (PPS) algorithms, which are commonly used for multi-object matching, often involve computation-intensive and memory-demanding matrix operations.
1 code implementation • CVPR 2018 • Yunpeng Shi, Gilad Lerman
We propose a strategy for improving camera location estimation in structure from motion.
1 code implementation • 17 Jun 2022 • Yunpeng Shi, Cole Wyeth, Gilad Lerman
We propose a novel quadratic programming formulation for estimating the corruption levels in group synchronization, and use these estimates to solve this problem.
1 code implementation • 15 Feb 2022 • Yunpeng Shi, Amit Singer
We show that the contrast variability can be derived from the 2-D covariance matrix and we apply the existing Covariance Wiener Filtering (CWF) framework to estimate it.
1 code implementation • 13 Jan 2022 • Yunpeng Shi, Shaohan Li, Tyler Maunu, Gilad Lerman
We develop new statistics for robustly filtering corrupted keypoint matches in the structure from motion pipeline.
2 code implementations • 24 Dec 2019 • Gilad Lerman, Yunpeng Shi
We then establish exact recovery and linear convergence guarantees for the proposed message passing procedure under a deterministic setting with adversarial corruption.
1 code implementation • 27 Jul 2020 • Yunpeng Shi, Gilad Lerman
We propose an efficient algorithm for solving group synchronization under high levels of corruption and noise, while we focus on rotation synchronization.