Mo Deng

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 12 citations into it

Whom Mo Deng trusts overall

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

1. Alex Krizhevsky
2. Yann LeCun
3. Yoshua Bengio
4. E.J. Candes
5. Olaf Ronneberger
6. Geoffrey E. Hinton
7. Vijay Badrinarayanan
8. Xiao-Jiao Mao
9. Gary B. Huang

Who trusts Mo Deng overall

1. Yunzhe Li
2. Meng Lyu

Papers from Mo Deng's perspective

Ordered by how strongly the researchers Mo Deng trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Learning Multiple Layers of Features from Tiny Images
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet Large Scale Visual Recognition Challenge
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Imaging through glass diffusers using densely connected convolutional networks (2017) — 345 citations