Shuguang Dou

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it
• Media Technology — 9 citations into it
• Artificial Intelligence — 8 citations into it
• Atmospheric Science — 7 citations into it
• Optimization & Training — 7 citations into it
• Model Architectures — 5 citations into it

Whom Shuguang Dou trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Ilya Sutskever
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Yoshua Bengio
7. Sergey Ioffe
8. Xavier Glorot
9. Christian Szegedy
10. Yushi Chen

Who trusts Shuguang Dou overall

1. Mercedes Eugenia Paoletti
2. Qichao Liu
3. Rui Li

Papers from Shuguang Dou's perspective

Ordered by how strongly the researchers Shuguang Dou 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. Going deeper with convolutions
5. Gradient-based learning applied to document recognition
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification (2018) — 356 citations