Lanfen Lin

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it

Whom Lanfen Lin trusts overall

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

1. Liang-Chieh Chen
2. Diederik P. Kingma
3. Kaiming He
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Tsung-Yi Lin
7. Alex Krizhevsky
8. Yoshua Bengio
9. Jimmy Ba
10. Yann LeCun

Who trusts Lanfen Lin overall

1. Md Mostafijur Rahman
2. Jeya Maria Jose Valanarasu

Papers from Lanfen Lin's perspective

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

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

Their papers

• UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation (2020) — 2,706 citations
• Mixed Transformer U-Net for Medical Image Segmentation (2021) — 424 citations