Handuo Yang
- Enhancing pixel-level crack segmentation with visual mamba and convolutional networks. Dans: Automation in Construction, v. 168 (décembre 2024). (2024):
- Deployment strategies for lightweight pavement defect detection using deep learning and inverse perspective mapping. Dans: Automation in Construction, v. 167 (novembre 2024). (2024):
- CrackDiffusion: A two-stage semantic segmentation framework for pavement crack combining unsupervised and supervised processes. Dans: Automation in Construction, v. 160 (avril 2024). (2024):
- Feature representation improved Faster R-CNN model for high efficiency pavement crack detection. Dans: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 50, n. 2 (février 2023). (2023):
- Novel Computer Tomography image enhancement deep neural networks for asphalt mixtures. Dans: Construction and Building Materials, v. 352 (octobre 2022). (2022):
- Pixelwise asphalt concrete pavement crack detection via deep learning‐based semantic segmentation method. Dans: Structural Control and Health Monitoring, v. 29, n. 8 (3 juillet 2022). (2022):