David Zhang

Computer Vision and Pattern Recognition · with Li · 2016

A researcher in the Science corpus: 1 paper; trusts 334 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it; #9,751 of 21,575 by trust here, #15,529 by citations
• Generative Models — 18 citations into it
• Artificial Intelligence — 12 citations into it
• Media Technology — 9 citations into it

Whom David Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Karen Simonyan
5. Andrea Vedaldi
6. Kaiming He
7. Yoshua Bengio
8. Andrew Zisserman
9. Yann LeCun
10. Ross B. Girshick

Who trusts David Zhang overall

1. Zhenliang He
2. Wei Shen

Papers from David Zhang's perspective

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

Their papers

• Deep Identity-aware Transfer of Facial Attributes (2016) — 153 citations