Di Kang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 256 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #13,611 of 21,575 by trust here, #19,310 by citations
• Artificial Intelligence — 18 citations into it; #22,034 of 35,345 by trust here, #30,347 by citations
• Model Architectures — 6 citations into it; #1,510 of 2,278 by trust here, #2,128 by citations

Whom Di Kang trusts overall

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

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

Who trusts Di Kang overall

1. Chunlin Chen
2. Weizhe Liu
3. Q. Ling
4. Mathieu Salzmann

Papers from Di Kang's perspective

Ordered by how strongly the researchers Di 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. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Incorporating Side Information by Adaptive Convolution (2017) — 87 citations