Jie Mei

Computer Vision and Pattern Recognition · with Cheng · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Social Psychology — 21 citations into it
• Artificial Intelligence — 19 citations into it
• Clinical Psychology — 18 citations into it
• Experimental and Cognitive Psychology — 12 citations into it
• Safety Research — 8 citations into it

Whom Jie Mei trusts overall

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

1. E. Scott Huebner
2. Kaiming He
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Geoffrey E. Hinton
6. Karen Simonyan
7. Shannon M. Suldo
8. Lili Tian
9. Ilya Sutskever
10. Ross B. Girshick

Papers from Jie Mei's perspective

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

Their papers

• JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation (2020) — 445 citations
• Age and Gender Differences in the Relation Between School-Related Social Support and Subjective Well-Being in School Among Students (2015) — 260 citations