Yi Xiao

Computer Vision and Pattern Recognition · with Jiang · 2019

A researcher in the Science corpus: 1 paper; trusts 105 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Generative Models — 15 citations into it
• Computer Graphics and Computer-Aided Design — 10 citations into it

Whom Yi Xiao trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Alex Krizhevsky
4. Kaiming He
5. Alexia Jolicoeur-Martineau
6. Jimmy Ba
7. Yoshua Bengio
8. Yann LeCun
9. Ross B. Girshick
10. Karen Simonyan

Papers from Yi Xiao's perspective

Ordered by how strongly the researchers Yi Xiao trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Coherent Semantic Attention for Image Inpainting (2019) — 400 citations