Hao Li

Computer Vision and Pattern Recognition · IEEE International Conference on Robotics and Automation · 2017–2021

A researcher in the Science corpus: 6 papers; trusts 170 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Li trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Ross B. Girshick
  5. Jesse Levinson
  6. Yoshua Bengio
  7. Sebastian Thrun
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Liang Zheng

Papers from Hao Li's perspective

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

Their papers