Dung Nguyen

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 295 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 133 citations into it
• Generative Models — 42 citations into it
• Artificial Intelligence — 30 citations into it
• Safety, Robustness & Interpretability — 14 citations into it
• Model Architectures — 12 citations into it
• Media Technology — 10 citations into it
• Law — 6 citations into it

Whom Dung Nguyen trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Karen Simonyan
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Yoshua Bengio
7. Andrew Zisserman
8. Yann LeCun
9. Ilya Sutskever
10. Ross B. Girshick

Papers from Dung Nguyen's perspective

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

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

Their papers

• Deep learning for deepfakes creation and detection: A survey (2019) — 629 citations
• Deep Learning for Deepfakes Creation and Detection (2019) — 150 citations