Luojun Lin

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Artificial Intelligence — 31 citations into it

Whom Luojun Lin trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky

Papers from Luojun Lin's perspective

Ordered by how strongly the researchers Luojun Lin 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. ImageNet classification with deep convolutional neural networks
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. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Fully convolutional networks for semantic segmentation

Their papers

• Unsupervised Image Classification for Deep Representation Learning (2020) — 14 citations