Wenbo Zhou

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 5 papers; trusts 301 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Wenbo Zhou trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Yann LeCun
  8. Jimmy Ba
  9. Christian Szegedy
  10. Tero Karras

Who trusts Wenbo Zhou overall

  1. Kaede Shiohara
  2. Zhiyuan Yan
  3. Yong Zhang

Papers from Wenbo Zhou's perspective

Ordered by how strongly the researchers Wenbo Zhou trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Going deeper with convolutions
  7. Long Short-Term Memory
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers