Zengqun Zhao

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 2 papers; trusts 80 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zengqun Zhao trusts overall

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

  1. Kai-Hong Wang
  2. Xiangyu Zhang
  3. Jiabei Zeng
  4. Kaiming He
  5. Shan Li
  6. Andrew G. Howard
  7. Geoffrey E. Hinton
  8. Alex Krizhevsky
  9. Ningning Ma
  10. Bolei Zhou

Papers from Zengqun Zhao's perspective

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

Their papers