Mengdan Feng

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 169 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #14,116 of 21,575 by trust here, #19,766 by citations
• Aerospace Engineering — 10 citations into it; #3,604 of 6,421 by trust here, #5,612 by citations
• Artificial Intelligence — 6 citations into it

Whom Mengdan Feng trusts overall

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

1. David G. Lowe
2. Diederik P. Kingma
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Andrew Zisserman
6. Alex Krizhevsky
7. Yann LeCun
8. Kaiming He
9. Tsung-Yi Lin
10. Jia Deng

Who trusts Mengdan Feng overall

1. Liu Liu
2. Zhedong Zheng
3. Sijie Zhu
4. Yujiao Shi
5. Hongdong Li

Papers from Mengdan Feng's perspective

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

Their papers

• CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization (2018) — 395 citations