Kar-Ming Fung

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 134 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 175 citations into it
• Artificial Intelligence — 137 citations into it

Whom Kar-Ming Fung trusts overall

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

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

Papers from Kar-Ming Fung's perspective

Ordered by how strongly the researchers Kar-Ming Fung 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. Long Short-Term Memory
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet Large Scale Visual Recognition Challenge
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Recent advances and clinical applications of deep learning in medical image analysis (2021) — 981 citations