Kien Nguyen

Signal Processing · with Fookes · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 10 citations into it
• Genetics — 5 citations into it

Whom Kien Nguyen trusts overall

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

1. John G. Daugman
2. Christopher K. I. Williams
3. Yann LeCun
4. Ali Sharif Razavian
5. Yoshua Bengio
6. Geoffrey E. Hinton
7. Kazuyuki Miyazawa
8. Kaiming He
9. Alex Krizhevsky
10. Christian Szegedy

Papers from Kien Nguyen's perspective

Ordered by how strongly the researchers Kien 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Iris Recognition With Off-the-Shelf CNN Features: A Deep Learning Perspective (2018) — 306 citations