Lei Lin

Computer Vision and Pattern Recognition · with Yuan · 2020

A researcher in the Science corpus: 1 paper; trusts 49 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it
• Ecology — 14 citations into it
• Media Technology — 14 citations into it
• Artificial Intelligence — 11 citations into it
• Atmospheric Science — 6 citations into it
• Representation & Self-Supervised Learning — 6 citations into it
• Natural Language Processing — 5 citations into it

Whom Lei Lin trusts overall

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

1. Marc Rußwurm
2. Kaiming He
3. Charlotte Pelletier
4. Geoffrey E. Hinton
5. Jimmy Ba
6. Mike Schuster
7. Yoshua Bengio
8. Longlong Jing
9. Marco Körner
10. Alex Krizhevsky

Who trusts Lei Lin overall

1. Chao Tao
2. Yi Wang
3. Sabeen Ahmed

Papers from Lei Lin's perspective

Ordered by how strongly the researchers Lei 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. Attention is All you Need (Neural Information Processing Systems)
4. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Self-Supervised Pretraining of Transformers for Satellite Image Time Series Classification (2020) — 177 citations