Yang Jin

Computer Vision and Pattern Recognition · with Gong · 2020

A researcher in the Science corpus: 1 paper; trusts 162 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Artificial Intelligence — 17 citations into it
• Graph Learning — 11 citations into it

Whom Yang Jin trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Geoffrey E. Hinton
4. Yann LeCun
5. Alex Krizhevsky
6. Andrew Zisserman
7. Jimmy Ba
8. Yoshua Bengio
9. Shaoqing Ren
10. Diederik P. Kingma

Papers from Yang Jin's perspective

Ordered by how strongly the researchers Yang Jin 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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

• Beyond Short-Term Snippet: Video Relation Detection With Spatio-Temporal Global Context (2020) — 82 citations