no code implementations • 6 Sep 2024 • Min Chen, Hao Yang, Shaohan Li, Xiaolin Qin
There is a great need to accurately predict short-term precipitation, which has socioeconomic effects such as agriculture and disaster prevention.
no code implementations • CVPR 2024 • Shaohan Li, Yunpeng Shi, Gilad Lerman
Group synchronization plays a crucial role in global pipelines for Structure from Motion (SfM).
no code implementations • 19 Feb 2024 • 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.
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 • 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.
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.