Ruixu Liu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 305 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 156 citations into it
• Human-Computer Interaction — 36 citations into it
• Computational Mechanics — 22 citations into it
• Control and Systems Engineering — 13 citations into it

Whom Ruixu Liu trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Yann LeCun
6. Christian Szegedy
7. Andrew Zisserman
8. Yoshua Bengio
9. Ilya Sutskever
10. Diederik P. Kingma

Papers from Ruixu Liu's perspective

Ordered by how strongly the researchers Ruixu Liu 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. ImageNet classification with deep convolutional neural networks
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. ImageNet: A large-scale hierarchical image database
7. Going deeper with convolutions
8. Gradient-based learning applied to document recognition
9. Microsoft COCO: Common Objects in Context
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deep Learning-based Human Pose Estimation: A Survey (2020) — 975 citations