Yang Hong

Computer Vision and Pattern Recognition · with Liu · 2021

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 43 citations into it
• Computer Graphics and Computer-Aided Design — 20 citations into it
• Generative Models — 11 citations into it

Whom Yang Hong trusts overall

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

1. Tero Karras
2. Diederik P. Kingma
3. Yu Deng
4. Volker Blanz
5. Geoffrey E. Hinton
6. Michael Niemeyer
7. Alex Krizhevsky
8. Karen Simonyan
9. Kaiming He
10. Samuli Laine

Who trusts Yang Hong overall

1. Shenhan Qian
2. Xiaodong Cun
3. A. Tewari

Papers from Yang Hong's perspective

Ordered by how strongly the researchers Yang Hong 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. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• HeadNeRF: A Realtime NeRF-based Parametric Head Model (2021) — 331 citations