Rang Nguyen

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 154 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rang Nguyen trusts overall

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

  1. Tero Karras
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Kaiming He
  6. Ilya Sutskever
  7. Yoshua Bengio
  8. Jimmy Ba
  9. Yann LeCun
  10. Ross B. Girshick

Papers from Rang Nguyen's perspective

Ordered by how strongly the researchers Rang 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. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers