Xian Tao

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 21 citations into it

Whom Xian Tao trusts overall

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

1. Kaiming He
2. Shaoqing Ren
3. Christian Szegedy
4. Ross B. Girshick
5. Piotr Doll'ar
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. X. Zhang
9. Liang-Chieh Chen
10. Karen Simonyan

Who trusts Xian Tao overall

1. Yajun Chen

Papers from Xian Tao's perspective

Ordered by how strongly the researchers Xian Tao 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. Gradient-based learning applied to document recognition
4. Going deeper with convolutions
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Detection of Power Line Insulator Defects Using Aerial Images Analyzed With Convolutional Neural Networks (2020) — 640 citations
• Automatic Metallic Surface Defect Detection and Recognition with Convolutional Neural Networks (2018) — 426 citations