Hongyu Li

Computer Vision and Pattern Recognition · with Gruteser · 2019

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Hongyu Li trusts overall

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

  1. Kaiming He
  2. Shaoqing Ren
  3. Jifeng Dai
  4. Ross B. Girshick
  5. Wei David Liu
  6. Thomas Wiegand
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Christian Szegedy

Who trusts Hongyu Li overall

  1. Jiasi Chen

Papers from Hongyu Li's perspective

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

Their papers