Hong Xuan

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hong Xuan trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Florian Schroff
  4. Alex Krizhevsky
  5. Jonathan Krause
  6. X. Zhang
  7. Jia Deng
  8. Hyun Oh Song
  9. Shaoqing Ren
  10. Ross B. Girshick

Papers from Hong Xuan's perspective

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

Their papers