2 citations · 3 across the 4 of their papers we have counts for
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cs.CV2023
E3CM: Epipolar-Constrained Cascade Correspondence Matching
Chenbo Zhou, Shuai Su, Qijun Chen +1
Accurate and robust correspondence matching is of utmost importance for various 3D computer vision tasks. However, traditional explicit programming-based methods often struggle to…
cs.CV2023★ 1 cited
UDTIRI: An Online Open-Source Intelligent Road Inspection Benchmark Suite
Sicen Guo, Jiahang Li, Yi Feng +7
In the nascent domain of urban digital twins (UDT), the prospects for leveraging cutting-edge deep learning techniques are vast and compelling. Particularly within the specialized…
cs.CV2022
SIM2E: Benchmarking the Group Equivariant Capability of Correspondence Matching Algorithms
Shuai Su, Zhongkai Zhao, Yixin Fei +3
Correspondence matching is a fundamental problem in computer vision and robotics applications. Solving correspondence matching problems using neural networks has been on the rise r…