Sheng Lian

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it; #18,923 of 21,575 by trust here, #15,529 by citations

Whom Sheng Lian trusts overall

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

1. Kaiming He
2. Olaf Ronneberger
3. Joes Staal
4. Huan Fu

Who trusts Sheng Lian overall

1. Kaiwen Zhang
2. Jeya Maria Jose Valanarasu
3. Tomer Amit
4. Xiangbin Liu

Papers from Sheng Lian's perspective

Ordered by how strongly the researchers Sheng Lian 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. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
3. ImageNet classification with deep convolutional neural networks
4. Learning Multiple Layers of Features from Tiny Images
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet Large Scale Visual Recognition Challenge
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Long Short-Term Memory

Their papers

• Weighted Res-UNet for High-Quality Retina Vessel Segmentation (2018) — 978 citations