Xiefan Guo

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 208 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 37 citations into it
• Generative Models — 12 citations into it
• Computer Graphics and Computer-Aided Design — 5 citations into it

Whom Xiefan Guo trusts overall

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

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

Papers from Xiefan Guo's perspective

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

Their papers

• Image Inpainting via Conditional Texture and Structure Dual Generation (2021) — 298 citations