Sibo Song

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 38 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it; #13,332 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 6 citations into it

Whom Sibo Song trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Andrea Vedaldi
5. Yoshua Bengio
6. Jia Deng
7. Ilya Sutskever
8. Kaiming He
9. Karen Simonyan
10. L. Eon Bottou

Who trusts Sibo Song overall

1. Samuel F. Dodge
2. Lina Karam
3. Robert Geirhos

Papers from Sibo Song's perspective

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

Their papers

• On classification of distorted images with deep convolutional neural networks (2017) — 121 citations