Hai Xiang Lin

Computer Vision and Pattern Recognition · with Cao · 2021

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 10 citations into it

Whom Hai Xiang Lin trusts overall

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

1. Mingxing Tan
2. Kaiming He
3. Shaoqing Ren
4. Ross B. Girshick
5. Quoc V. Le
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. L. Eon Bottou
9. Alexey Bochkovskiy
10. Christian Szegedy

Papers from Hai Xiang Lin's perspective

Ordered by how strongly the researchers Hai Xiang Lin 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Microsoft COCO: Common Objects in Context
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Forest Fire Detection System Based on Ensemble Learning (2021) — 493 citations