Shuyin Xia

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it

Whom Shuyin Xia trusts overall

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

1. Carla E. Brodley
2. Karen Simonyan
3. Jerome H. Friedman
4. Marius Muja
5. Benoît Frénay
6. David G. Lowe
7. Andrew Zisserman
8. Maxime Oquab
9. Claudia Lindner
10. Jun Li

Papers from Shuyin Xia's perspective

Ordered by how strongly the researchers Shuyin Xia 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Complete Random Forest Based Class Noise Filtering Learning for Improving the Generalizability of Classifiers (2019) — 76 citations