Taiping Yao

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 52 citations into it
• Artificial Intelligence — 18 citations into it
• Model Architectures — 6 citations into it

Whom Taiping Yao trusts overall

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

1. Geoffrey E. Hinton
2. Karen Simonyan
3. François Chollet
4. Yuyang Qian
5. Diederik P. Kingma
6. Kaiming He
7. Alex Krizhevsky
8. Andrew Zisserman
9. Ross B. Girshick
10. Yoshua Bengio

Papers from Taiping Yao's perspective

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

Their papers

• End-to-End Reconstruction-Classification Learning for Face Forgery Detection (2022) — 420 citations
• Local Relation Learning for Face Forgery Detection (2021) — 350 citations