Zhiqiang Tang

Computer Vision and Pattern Recognition · with Feris · 2018

A researcher in the Science corpus: 1 paper; trusts 104 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #19,720 of 21,575 by trust here, #13,815 by citations
• Artificial Intelligence — 14 citations into it; #32,083 of 35,345 by trust here, #20,836 by citations

Whom Zhiqiang Tang trusts overall

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

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

Who trusts Zhiqiang Tang overall

1. Long Zhao
2. Tao Hu
3. Linfeng Song
4. Fengchun Qiao
5. Yucheng Chen
6. Xinyao Wang

Papers from Zhiqiang Tang's perspective

Ordered by how strongly the researchers Zhiqiang Tang 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. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Jointly Optimize Data Augmentation and Network Training: Adversarial Data Augmentation in Human Pose Estimation (2018) — 222 citations