Xin Zhu

Computer Vision and Pattern Recognition · with Wang · 2017

A researcher in the Science corpus: 2 papers; trusts 434 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it; #19,708 of 21,575 by trust here, #15,162 by citations
• Artificial Intelligence — 26 citations into it
• Model Architectures — 11 citations into it
• Aerospace Engineering — 6 citations into it

Whom Xin Zhu trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Pedro F. Felzenszwalb
4. Alex Krizhevsky
5. Karen Simonyan
6. Geoffrey E. Hinton
7. Christian Szegedy
8. Navneet Dalal
9. Andrew Zisserman
10. Piotr Doll'ar

Who trusts Xin Zhu overall

1. Zhaowei Cai
2. Nuno Vasconcelos

Papers from Xin Zhu's perspective

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

Their papers

• Chained Cascade Network for Object Detection (2017) — 56 citations
• Learning Chained Deep Features and Classifiers for Cascade in Object Detection (2017) — 20 citations