Rijun Liao

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Biomedical Engineering — 7 citations into it
• Model Architectures — 5 citations into it

Whom Rijun Liao trusts overall

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

1. Sepp Hochreiter
2. Mike Schuster
3. Ju Han
4. Ching-Hang Chen
5. Riza Alp Güler
6. Shiqi Yu
7. J. Urgen Schmidhuber
8. Yandong Wen
9. Zhe Cao
10. Karen Simonyan

Who trusts Rijun Liao overall

1. Zihao Mu
2. Torben Teepe

Papers from Rijun Liao's perspective

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

Their papers

• A model-based gait recognition method with body pose and human prior knowledge (2020) — 497 citations