Yanming Miao

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 433 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 173 citations into it
• Artificial Intelligence — 132 citations into it
• Model Architectures — 67 citations into it
• Efficiency & Compression — 33 citations into it
• Optimization & Training — 32 citations into it

Whom Yanming Miao trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Yoshua Bengio
5. Yann LeCun
6. Christian Szegedy
7. Diederik P. Kingma
8. Ilya Sutskever
9. Ross B. Girshick
10. Karen Simonyan

Papers from Yanming Miao's perspective

Ordered by how strongly the researchers Yanming Miao 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Review of Image Classification Algorithms Based on Convolutional Neural Networks (2021) — 697 citations