Yue Dong

Computer Vision and Pattern Recognition · with Chang · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 188 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 102 citations into it; #19,118 of 21,575 by trust here, #15,955 by citations
• Generative Models — 42 citations into it
• Artificial Intelligence — 18 citations into it
• Radiology, Nuclear Medicine and Imaging — 12 citations into it
• Biomedical Engineering — 6 citations into it; #8,594 of 10,734 by trust here, #10,638 by citations
• Cognitive Neuroscience — 6 citations into it
• Optimization & Training — 6 citations into it

Whom Yue Dong trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Jimmy Ba
6. Alexei A. Efros
7. Yoshua Bengio
8. Brian B. Avants
9. Yann LeCun
10. Ross B. Girshick

Who trusts Yue Dong overall

1. Tony C. W. Mok

Papers from Yue Dong's perspective

Ordered by how strongly the researchers Yue Dong 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. ImageNet: A large-scale hierarchical image database
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Large Scale Image Completion via Co-Modulated Generative Adversarial Networks (2021) — 359 citations
• Recursive Cascaded Networks for Unsupervised Medical Image Registration (2019) — 300 citations