Hao He

Computer Vision and Pattern Recognition · with Chan · 2019–2023

A researcher in the Science corpus: 3 papers; trusts 225 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Hao He trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Richard S. Sutton
  7. Diederik P. Kingma
  8. Christian Szegedy
  9. Yann LeCun
  10. Ilya Sutskever

Who trusts Hao He overall

  1. James Queeney

Papers from Hao He's perspective

Ordered by how strongly the researchers Hao He 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. Attention is All you Need (Neural Information Processing Systems)
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers