Shaopeng Liu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 118 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 29 citations into it
• Radiology, Nuclear Medicine and Imaging — 13 citations into it
• Representation & Self-Supervised Learning — 7 citations into it

Whom Shaopeng Liu trusts overall

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

1. Alex Krizhevsky
2. Ross B. Girshick
3. Kaiming He
4. Geoffrey E. Hinton
5. Tsung-Yi Lin
6. Yoshua Bengio
7. Yann LeCun
8. Ilya Sutskever
9. Bharath Hariharan
10. Diederik P. Kingma

Papers from Shaopeng Liu's perspective

Ordered by how strongly the researchers Shaopeng 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. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Feature Space Augmentation for Long-Tailed Data (2020) — 289 citations