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20202025
most citedRobust Multi-object Matching via Iterative Reweighting of the Graph Connection Laplacian

5 citations · 11 across the 6 of their papers we have counts for

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cs.CV2025

Cycle-Sync: Robust Global Camera Pose Estimation through Enhanced Cycle-Consistent Synchronization

Shaohan Li, Yunpeng Shi, Gilad Lerman

We introduce Cycle-Sync, a robust and global framework for estimating camera poses (both rotations and locations). Our core innovation is a location solver that adapts message-pass…

cs.CV2024

Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization

Shaohan Li, Yunpeng Shi, Gilad Lerman

Group synchronization plays a crucial role in global pipelines for Structure from Motion (SfM). Its formulation is nonconvex and it is faced with highly corrupted measurements. Cyc…

cs.CV2022

Fast, Accurate and Memory-Efficient Partial Permutation Synchronization

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 op…

cs.CV2022★ 3 cited

Scalable Cluster-Consistency Statistics for Robust Multi-Object Matching

Yunpeng Shi, Shaohan Li, Tyler Maunu +1

We develop new statistics for robustly filtering corrupted keypoint matches in the structure from motion pipeline. The statistics are based on consistency constraints that arise wi…

cs.CV2020★ 5 cited

Robust Multi-object Matching via Iterative Reweighting of the Graph Connection Laplacian

Yunpeng Shi, Shaohan Li, Gilad Lerman

We propose an efficient and robust iterative solution to the multi-object matching problem. We first clarify serious limitations of current methods as well as the inappropriateness…