Yao Feng

Computer Vision and Pattern Recognition · with Black · 2020

A researcher in the Science corpus: 1 paper; trusts 141 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 58 citations into it
• Computational Mechanics — 17 citations into it
• Signal Processing — 12 citations into it

Whom Yao Feng trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Volker Blanz
4. Elad Richardson
5. Andrew Zisserman
6. Thomas Vetter
7. Matan Sela
8. Geoffrey E. Hinton
9. Sami Romdhani
10. Alex Krizhevsky

Papers from Yao Feng's perspective

Ordered by how strongly the researchers Yao Feng 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Learning an animatable detailed 3D face model from in-the-wild images (2020) — 847 citations