Haizhou Ai

Computer Vision and Pattern Recognition · 2004–2018

A researcher in the Science corpus: 5 papers; trusts 174 researchers and is trusted by 50 researchers here, as inferred from the citation graph.

Subfields

Whom Haizhou Ai trusts overall

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

  1. Robert E. Schapire
  2. Yoav Freund
  3. Paul A. Viola
  4. Jerome H. Friedman
  5. Henry Schneiderman
  6. Kaiming He
  7. Yann LeCun
  8. Geoffrey E. Hinton
  9. Alex Krizhevsky
  10. Christian Szegedy

Who trusts Haizhou Ai overall

  1. Zdenek Kalal
  2. Cha Zhang
  3. Helmut Grabner
  4. Sachin Sudhakar Farfade
  5. Bangpeng Yao
  6. Sirion Vittayakorn
  7. Guillem Brasó
  8. Nataraj Jammalamadaka
  9. Bo Yang
  10. Kota Yamaguchi

Papers from Haizhou Ai's perspective

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

Their papers