137 citations · 318 across the 10 of their papers we have counts for
10 papers
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…
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…
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…
SDA-SNE: Spatial Discontinuity-Aware Surface Normal Estimation via Multi-Directional Dynamic Programming
Nan Ming, Yi Feng, Rui Fan
The state-of-the-art (SoTA) surface normal estimators (SNEs) generally translate depth images into surface normal maps in an end-to-end fashion. Although such SNEs have greatly min…
Computer Vision for Road Imaging and Pothole Detection: A State-of-the-Art Review of Systems and Algorithms
Nachuan Ma, Jiahe Fan, Wenshuo Wang +4
Computer vision algorithms have been prevalently utilized for 3-D road imaging and pothole detection for over two decades. Nonetheless, there is a lack of systematic survey article…
Computer-Aided Road Inspection: Systems and Algorithms
Rui Fan, Sicen Guo, Li Wang +1
Road damage is an inconvenience and a safety hazard, severely affecting vehicle condition, driving comfort, and traffic safety. The traditional manual visual road inspection proces…
Multi-Scale Feature Fusion: Learning Better Semantic Segmentation for Road Pothole Detection
Jiahe Fan, Mohammud J. Bocus, Brett Hosking +4
This paper presents a novel pothole detection approach based on single-modal semantic segmentation. It first extracts visual features from input images using a convolutional neural…
Graph Attention Layer Evolves Semantic Segmentation for Road Pothole Detection: A Benchmark and Algorithms
Rui Fan, Hengli Wang, Yuan Wang +2
Existing road pothole detection approaches can be classified as computer vision-based or machine learning-based. The former approaches typically employ 2-D image analysis/understan…
MFuseNet: Robust Depth Estimation with Learned Multiscopic Fusion
Weihao Yuan, Rui Fan, Michael Yu Wang +1
We design a multiscopic vision system that utilizes a low-cost monocular RGB camera to acquire accurate depth estimation. Unlike multi-view stereo with images captured at unconstra…
PT-ResNet: Perspective Transformation-Based Residual Network for Semantic Road Image Segmentation
Rui Fan, Yuan Wang, Lei Qiao +5
Semantic road region segmentation is a high-level task, which paves the way towards road scene understanding. This paper presents a residual network trained for semantic road segme…