Van Nhan Nguyen

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 118 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 7 citations into it

Whom Van Nhan Nguyen trusts overall

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

1. Kaiming He
2. Shaoqing Ren
3. John F. Canny
4. Ross B. Girshick
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Yann LeCun
8. Saining Xie
9. Yoshua Bengio
10. Jifeng Dai

Papers from Van Nhan Nguyen's perspective

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

Their papers

• Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning (2018) — 509 citations