Zhengchao Xu
Structural Control & Health Monitoring · 2020
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Zhengchao Xu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma (in Artificial Intelligence)
- Jimmy Ba (in Artificial Intelligence)
Papers from Zhengchao Xu's perspective
Ordered by how strongly the researchers Zhengchao Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Convolutional Neural Networks with transfer learning for computer vision-based data-driven pavement distress detection
- DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection (IEEE Transactions on Image Processing)
- Holistically-Nested Edge Detection
- Automated Pixel‐Level Pavement Crack Detection on 3D Asphalt Surfaces Using a Deep‐Learning Network (Comput. Aided Civ. Infrastructure Eng.)
- Encoder–decoder network for pixel‐level road crack detection in black‐box images (Comput. Aided Civ. Infrastructure Eng.)
- Automatic recognition of asphalt pavement cracks using metaheuristic optimized edge detection algorithms and convolution neural network (Automation in Construction)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
Their papers
- CrackU‐net: A novel deep convolutional neural network for pixelwise pavement crack detection (2020) — 324 citations