Mengying Shu

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 511 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it
• Artificial Intelligence — 17 citations into it
• Model Architectures — 7 citations into it

Whom Mengying Shu trusts overall

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

1. Christian Szegedy
2. Alex Krizhevsky
3. Kaiming He
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Ross B. Girshick
7. Shaoqing Ren
8. Ilya Sutskever
9. Matthew D. Zeiler
10. Saining Xie

Papers from Mengying Shu's perspective

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

Their papers

• Deep learning for image classification on very small datasets using transfer learning (2019) — 35 citations