Ruigang Fu

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Safety, Robustness & Interpretability — 14 citations into it

Whom Ruigang Fu trusts overall

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

1. Karen Simonyan
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ross B. Girshick
5. Kaiming He
6. Andrew Zisserman
7. Grgoire Montavon
8. Matthew D. Zeiler
9. Ilya Sutskever
10. Andrea Vedaldi

Papers from Ruigang Fu's perspective

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

Their papers

• Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs (2020) — 376 citations