Li Zhang

Computer Vision and Pattern Recognition · with Jiang · 2020

A researcher in the Science corpus: 2 papers; trusts 79 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it
• Artificial Intelligence — 39 citations into it
• Safety, Risk, Reliability and Quality — 7 citations into it

Whom Li Zhang trusts overall

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

1. Karen Simonyan
2. Vishwanath A. Sindagi
3. Diederik P. Kingma
4. Andrew Zisserman
5. Kaiming He
6. Ross B. Girshick
7. Piotr Doll'ar
8. Geoffrey E. Hinton
9. Alex Krizhevsky
10. Haroon Idrees

Papers from Li Zhang's perspective

Ordered by how strongly the researchers Li Zhang 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. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Learning Multi-Level Density Maps for Crowd Counting (2020) — 59 citations
• Attention Scaling for Crowd Counting (2020) — 307 citations