Xiaobo Shi

Computer Vision and Pattern Recognition · 2017

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 — 11 citations into it
• Artificial Intelligence — 6 citations into it

Whom Xiaobo Shi trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Yann LeCun
4. Pascal Vincent
5. Hugo Larochelle
6. Alex Krizhevsky
7. Dan Claudiu Ciresan
8. Radford M. Neal
9. Ruslan Salakhutdinov
10. Simon Osindero

Who trusts Xiaobo Shi overall

1. Grant Haskins
2. Qiong Wu

Papers from Xiaobo Shi's perspective

Ordered by how strongly the researchers Xiaobo Shi 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network (2017) — 410 citations