Xilong Liu

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 Xilong Liu trusts overall

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

1. Kaiming He
2. Shaoqing Ren

Papers from Xilong Liu's perspective

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

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

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