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