Xiang Ming

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it; #12,055 of 21,575 by trust here, #8,021 by citations
• Artificial Intelligence — 7 citations into it

Whom Xiang Ming trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Kaiming He
4. Yoshio Takane
5. Yann LeCun
6. Karen Simonyan
7. Matthew D. Zeiler
8. Rob Fergus
9. Andrew Zisserman
10. Ilya Sutskever

Who trusts Xiang Ming overall

1. Frederick Tung
2. Ze Yang
3. Xiangyu Zhang
4. Greg Mori
5. Breton L. Minnehan

Papers from Xiang Ming's perspective

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

Their papers

• Efficient and accurate approximations of nonlinear convolutional networks (2014) — 270 citations