Jin-Gang Yu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it

Whom Jin-Gang Yu trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Evan Shelhamer
6. Oriol Vinyals
7. Yann LeCun
8. Yoshua Bengio
9. Diederik P. Kingma
10. Andrew Zisserman

Who trusts Jin-Gang Yu overall

1. Yang Xiao

Papers from Jin-Gang Yu's perspective

Ordered by how strongly the researchers Jin-Gang Yu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
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. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• FGN: Fully Guided Network for Few-Shot Instance Segmentation (2020) — 83 citations