5 citations · 11 across the 6 of their papers we have counts for
6 papers
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…
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…
The effect of Leaky ReLUs on the training and generalization of overparameterized networks
Yinglong Guo, Shaohan Li, Gilad Lerman
We investigate the training and generalization errors of overparameterized neural networks (NNs) with a wide class of leaky rectified linear unit (ReLU) functions. More specificall…
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…
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…
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…