Xianxu Hou

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 190 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it; #15,040 of 21,575 by trust here, #16,367 by citations
• Generative Models — 15 citations into it
• Artificial Intelligence — 12 citations into it

Whom Xianxu Hou trusts overall

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

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

Who trusts Xianxu Hou overall

1. Eitan Richardson
2. Christopher Thomas
3. Rogelio Andrade Mancisidor
4. Jabeen Summaira
5. Adriana Kovashka
6. Yair Weiss
7. Michael C. Kampffmeyer
8. Xi Li

Papers from Xianxu Hou's perspective

Ordered by how strongly the researchers Xianxu Hou 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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

• Deep Feature Consistent Variational Autoencoder (2016) — 354 citations