Yu Hao

Computer Vision and Pattern Recognition · with Fu · 2019

A researcher in the Science corpus: 1 paper; trusts 66 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Yu Hao trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Shaoqing Ren
  6. Ilya Sutskever
  7. C. Lawrence Zitnick
  8. Joseph Redmon
  9. Piotr Doll'ar
  10. X. Zhang

Who trusts Yu Hao overall

  1. Can Peng
  2. Na Zhao
  3. K. J. Joseph
  4. Liyuan Wang
  5. Kun Zhao
  6. Liu Yu-yang
  7. Junsu Kim
  8. Jingzhou Chen
  9. Marc Masana
  10. Qi Wang

Papers from Yu Hao's perspective

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

Their papers