Mengyi En

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 56 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Media Technology — 15 citations into it

Whom Mengyi En trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Cong Yao
4. Xiang Bai
5. Geoffrey E. Hinton
6. Minghui Liao
7. Alex Krizhevsky
8. Andrew Zisserman
9. Baoguang Shi

Papers from Mengyi En's perspective

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

Their papers

• Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes (2019) — 256 citations