Lin Mei

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 13 citations into it

Whom Lin Mei trusts overall

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

1. Karen Simonyan
2. Jun Wan
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Andrew Zisserman
6. Yann LeCun
7. Ross B. Girshick
8. Yoshua Bengio
9. Kaiming He
10. Ilya Sutskever

Who trusts Lin Mei overall

1. Pichao Wang

Papers from Lin Mei's perspective

Ordered by how strongly the researchers Lin Mei 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. Going deeper with convolutions
4. Gradient-based learning applied to document recognition
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Large-scale Isolated Gesture Recognition using pyramidal 3D convolutional networks (2016) — 72 citations