Shihao Bai

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 231 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 94 citations into it
• Generative Models — 43 citations into it
• Artificial Intelligence — 26 citations into it
• Media Technology — 11 citations into it
• Computational Mechanics — 6 citations into it
• Model Architectures — 6 citations into it

Whom Shihao Bai trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Karen Simonyan
6. Ross B. Girshick
7. Yoshua Bengio
8. Ilya Sutskever
9. Yann LeCun
10. Andrew Zisserman

Papers from Shihao Bai's perspective

Ordered by how strongly the researchers Shihao 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. 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. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Going deeper with convolutions

Their papers

• Stratified Rule-Aware Network for Abstract Visual Reasoning (2020) — 131 citations
• Regionwise Generative Adversarial Image Inpainting for Large Missing Areas (2019) — 55 citations
• Coarse-to-Fine Image Inpainting via Region-wise Convolutions and Non-Local Correlation (2019) — 64 citations