Miao Kang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 20 citations into it
• Artificial Intelligence — 6 citations into it

Whom Miao Kang trusts overall

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

1. Ross B. Girshick
2. Karen Simonyan
3. Kaiming He
4. Shaoqing Ren
5. Andrew Zisserman
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Vincent Dumoulin
9. Yoshua Bengio
10. Yann LeCun

Who trusts Miao Kang overall

1. Yuanyuan Wang

Papers from Miao Kang's perspective

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

Their papers

• Contextual Region-Based Convolutional Neural Network with Multilayer Fusion for SAR Ship Detection (2017) — 332 citations