Zhiqiang Tian

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 13 citations into it
• Model Architectures — 6 citations into it
• Biomedical Engineering — 5 citations into it

Whom Zhiqiang Tian trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Dan Claudiu Ciresan
4. Geoffrey E. Hinton
5. Ross B. Girshick
6. Evan Shelhamer
7. Yann LeCun
8. Ilya Sutskever
9. Fausto Milletarì
10. Yoshua Bengio

Papers from Zhiqiang Tian's perspective

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

Their papers

• PSNet: prostate segmentation on MRI based on a convolutional neural network (2018) — 98 citations