Liquan Zhao

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 227 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 5 citations into it

Whom Liquan Zhao trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Joseph Redmon
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Wei David Liu
7. Tsung-Yi Lin
8. Shaoqing Ren
9. X. Zhang
10. Christian Szegedy

Papers from Liquan Zhao's perspective

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

Their papers

• Object Detection Algorithm Based on Improved YOLOv3 (2020) — 300 citations