Hao Zhu

Computer Vision and Pattern Recognition · with Li · 2013–2017

A researcher in the Science corpus: 2 papers; trusts 75 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Zhu trusts overall

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

  1. David G. Lowe
  2. Gareth Blake Loy
  3. Mohan Manubhai Trivedi
  4. Z. Kim
  5. Mohamed Aly
  6. Navneet Dalal
  7. Congcong Li
  8. Sayanan Sivaraman
  9. Geoffrey E. Hinton
  10. Joel C. McCall

Who trusts Hao Zhu overall

  1. Azim Eskandarian
  2. Chaoxian Wu

Papers from Hao Zhu's perspective

Ordered by how strongly the researchers Hao Zhu 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers