Xu Yang

Computer Vision and Pattern Recognition · with Luo · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it
• Artificial Intelligence — 13 citations into it
• Optimization & Training — 7 citations into it

Whom Xu Yang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Leslie N. Smith
2. Joseph Redmon
3. Kaiming He
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Evan Shelhamer
7. Geoffrey E. Hinton
8. Ross B. Girshick
9. Ali Farhadi
10. Ilya Loshchilov

Papers from Xu Yang's perspective

Ordered by how strongly the researchers Xu Yang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Going deeper with convolutions
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Automated pavement crack detection and segmentation based on two‐step convolutional neural network (2020) — 349 citations
• Automatic Pixel‐Level Crack Detection and Measurement Using Fully Convolutional Network (2018) — 760 citations