Sheng-lan Liu

Computer Vision and Pattern Recognition · 2018

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

Subfields

• Computer Vision and Pattern Recognition — 11 citations into it

Whom Sheng-lan Liu trusts overall

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

1. Ivan Laptev
2. Dian Gong
3. Hueihan Jhuang
4. Benjamin Z. Yao
5. Javen Qinfeng Shi
6. Jernej Barbic
7. Eamonn J. Keogh
8. Thomas Serre
9. Gérard G. Medioni
10. Geoffrey E. Hinton

Who trusts Sheng-lan Liu overall

1. Jun Liu

Papers from Sheng-lan Liu's perspective

Ordered by how strongly the researchers Sheng-lan Liu 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Going deeper with convolutions
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Manifold Warp Segmentation of Human Action (2018) — 7 citations