Huidong Liu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 47 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 30 citations into it
• Artificial Intelligence — 24 citations into it
• Safety, Risk, Reliability and Quality — 5 citations into it

Whom Huidong Liu trusts overall

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

1. Ke Chen
2. Individualized Treat
3. G. Peyr'e
4. Haroon Idrees
5. Deepak Babu Sam
6. Yuhong Li
7. Viresh Ranjan
8. Sheng-Fuu Lin
9. Qi Wang
10. Desen Zhou

Papers from Huidong Liu's perspective

Ordered by how strongly the researchers Huidong 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. GENERATIVE ADVERSARIAL NETS
8. Going deeper with convolutions
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Distribution Matching for Crowd Counting (2020) — 417 citations