Qingyan Bai

Computer Vision and Pattern Recognition · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 213 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 67 citations into it
• Generative Models — 47 citations into it
• Artificial Intelligence — 10 citations into it
• Optimization & Training — 5 citations into it

Whom Qingyan Bai trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Tero Karras
4. Geoffrey E. Hinton
5. Alex Krizhevsky
6. Yujun Shen
7. Yuval Alaluf
8. Rameen Abdal
9. Ross B. Girshick
10. Karen Simonyan

Who trusts Qingyan Bai overall

1. Weihao Xia

Papers from Qingyan Bai's perspective

Ordered by how strongly the researchers Qingyan Bai 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. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Long Short-Term Memory
9. GENERATIVE ADVERSARIAL NETS
10. Going deeper with convolutions

Their papers

• High-fidelity GAN Inversion with Padding Space (2022) — 34 citations
• Identity-Guided Face Generation with Multi-Modal Contour Conditions (2021)