Na Zhang

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 247 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 111 citations into it; #15,136 of 21,575 by trust here, #20,756 by citations
• Signal Processing — 42 citations into it; #5,074 of 7,572 by trust here, #7,112 by citations
• Artificial Intelligence — 24 citations into it

Whom Na Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Ross B. Girshick
7. Ilya Sutskever
8. Diederik P. Kingma
9. Karen Simonyan
10. Ruslan Salakhutdinov

Who trusts Na Zhang overall

1. Insaf Adjabi

Papers from Na Zhang's perspective

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

Their papers

• A survey on deep learning based face recognition (2019) — 451 citations