Hao Zhou

Computer Vision and Pattern Recognition · with Hadap · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 275 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Hao Zhou trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Geoffrey E. Hinton
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Kaiming He
  8. Andrea Vedaldi
  9. Jimmy Ba
  10. Ross B. Girshick

Who trusts Hao Zhou overall

  1. Haichuan Yang
  2. Georgios Georgiadis
  3. José Manuel Álvarez
  4. Zehao Huang
  5. Pedro Morgado
  6. Zhuang Liu
  7. Yu Cheng
  8. Yuhao Zhu
  9. Marc Masana
  10. Hao Li

Papers from Hao Zhou's perspective

Ordered by how strongly the researchers Hao Zhou 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. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers