Haiyao Xiao

Computer Vision and Pattern Recognition · 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 Haiyao Xiao trusts overall

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

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

Papers from Haiyao Xiao's perspective

Ordered by how strongly the researchers Haiyao Xiao 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
4. Adam: A Method for Stochastic Optimization (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. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

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