Hou-Ning Hu

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 92 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hou-Ning Hu trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Fisher Yu
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Shaoqing Ren
  7. Philipp Krahenbuhl
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Yoshua Bengio

Who trusts Hou-Ning Hu overall

  1. Jiageng Mao
  2. Mingyu Ding

Papers from Hou-Ning Hu's perspective

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

Their papers