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ORCIDChuangwei Liu
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2020 – today
- 2026
[j7]Yikang Zhang
, Chuang-Wei Liu, Jiahang Li, Yingbing Chen, Jie Cheng, Rui Fan:
Establishing Reality-Virtuality Interconnections in Urban Digital Twins for Superior Intelligent Road Inspection and Simulation. IEEE Robotics Autom. Lett. 11(2): 1378-1385 (2026)- [j6]Chuang-Wei Liu, Mingjian Sun, Cairong Zhao, Hanli Wang, Alexander V. Dvorkovich, Rui Fan:
Integrating Disparity Confidence Estimation Into Relative Depth Prior-Guided Unsupervised Stereo Matching. IEEE Trans. Circuits Syst. Video Technol. 36(1): 350-362 (2026) - [j5]Sicen Guo, Tianyou Wen, Chuang-Wei Liu, Qijun Chen, Rui Fan:
Fully Exploiting Vision Foundation Model's Profound Prior Knowledge for Generalizable RGB-Depth Driving Scene Parsing. IEEE Trans. Intell. Veh. 11(3): 381-390 (2026) - 2025
- [j4]Yun Peng, Xiao Lin, Nachuan Ma, Jiayuan Du, Chuangwei Liu, Chengju Liu, Qijun Chen:
SAM-LAD: Segment Anything Model meets zero-shot logic anomaly detection. Knowl. Based Syst. 314: 113176 (2025) - [j3]Chuangwei Liu, Yikang Zhang, Qijun Chen, Ioannis Pitas, Rui Fan:
These Maps Are Made by Propagation: Adapting Deep Stereo Networks to Road Scenarios With Decisive Disparity Diffusion. IEEE Trans. Image Process. 34: 1516-1528 (2025) - [i8]Sicen Guo, Tianyou Wen, Chuangwei Liu, Qijun Chen, Rui Fan:
Fully Exploiting Vision Foundation Model's Profound Prior Knowledge for Generalizable RGB-Depth Driving Scene Parsing. CoRR abs/2502.06219 (2025) - [i7]Nachuan Ma, Zhengfei Song, Qiang Hu, Chuang-Wei Liu, Yu Han, Yanting Zhang, Rui Fan, Lihua Xie:
Vehicular Road Crack Detection with Deep Learning: A New Online Benchmark for Comprehensive Evaluation of Existing Algorithms. CoRR abs/2503.18082 (2025) - [i6]Chuang-Wei Liu, Mingjian Sun, Cairong Zhao, Hanli Wang, Alexander V. Dvorkovich, Rui Fan:
Integrating Disparity Confidence Estimation into Relative Depth Prior-Guided Unsupervised Stereo Matching. CoRR abs/2508.01275 (2025) - 2024
- [j2]Zhiyuan Wu, Yi Feng, Chuangwei Liu, Fisher Yu, Qijun Chen, Rui Fan:
S$^{3}$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving. IEEE Trans. Intell. Veh. 9(2): 3940-3951 (2024) - [i5]Zhiyuan Wu, Yi Feng, Chuangwei Liu, Fisher Yu, Qijun Chen, Rui Fan:
S3M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving. CoRR abs/2401.11414 (2024) - [i4]Chuangwei Liu, Qijun Chen, Rui Fan:
Playing to Vision Foundation Model's Strengths in Stereo Matching. CoRR abs/2404.06261 (2024) - [i3]Yun Peng, Xiao Lin, Nachuan Ma, Jiayuan Du, Chuangwei Liu, Chengju Liu, Qijun Chen:
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection. CoRR abs/2406.00625 (2024) - [i2]Chuangwei Liu, Yikang Zhang, Qijun Chen, Ioannis Pitas, Rui Fan:
These Maps Are Made by Propagation: Adapting Deep Stereo Networks to Road Scenarios with Decisive Disparity Diffusion. CoRR abs/2411.03717 (2024) - [i1]Yikang Zhang, Chuangwei Liu, Jiahang Li, Yingbing Chen, Jie Cheng, Rui Fan:
Establishing Reality-Virtuality Interconnections in Urban Digital Twins for Superior Intelligent Road Inspection. CoRR abs/2412.17699 (2024) - 2023
- [j1]Yun Peng, Chuangwei Liu, Yi Yan, Nachuan Ma, Deming Wang, Chengju Liu, Qijun Chen:
Semi-Supervised Bolt Anomaly Detection Based on Local Feature Reconstruction. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - 2022
- [c2]Chuangwei Liu, Yi Yan, Nachuan Ma, Yun Peng, Chengju Liu, Qijun Chen:
Semi-supervised Bolt Anomaly Detection in Haphazard Environment. CASE 2022: 882-887 - [c1]Jiayao Yuan, Chengju Liu, Chuangwei Liu, Liuyi Wang, Qijun Chen:
Real-Time Human Falling Recognition via Spatial and Temporal Self-Attention Augmented Graph Convolutional Network. RCAR 2022: 438-443
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