H. Dang

Computer Vision and Pattern Recognition · with Liu · 2019

A researcher in the Science corpus: 1 paper; trusts 173 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom H. Dang trusts overall

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

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

Who trusts H. Dang overall

  1. Kaede Shiohara
  2. Diego Gragnaniello

Papers from H. Dang's perspective

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

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

Their papers