Giang Nguyen

Computer Vision and Pattern Recognition · with Bobák · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it

Whom Giang Nguyen trusts overall

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

1. Radford M. Neal
2. Koby Crammer
3. Karen Simonyan
4. Geoffrey E. Hinton
5. Yann LeCun
6. Kaiming He
7. Yoshua Bengio
8. Ronan Collobert
9. Alex Krizhevsky
10. Andrew Zisserman

Who trusts Giang Nguyen overall

1. Mackenzie W. Mathis
2. Thorsten Hoeser
3. Asifullah Khan
4. Alexander Mathis
5. Claudia Kuenzer

Papers from Giang Nguyen's perspective

Ordered by how strongly the researchers Giang 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. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
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

• Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey (2019) — 759 citations