Mengyuan Huang

Computer Vision and Pattern Recognition · with Chen · 2016

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it

Whom Mengyuan Huang trusts overall

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

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Karen Simonyan
4. Yann LeCun
5. Ross B. Girshick
6. Vinod Nair

Papers from Mengyuan Huang's perspective

Ordered by how strongly the researchers Mengyuan Huang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Going deeper with convolutions
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. Long Short-Term Memory
9. Attention is All you Need (Neural Information Processing Systems)
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• Convolutional Neural Network With Data Augmentation for SAR Target Recognition (2016) — 681 citations