Zhang Zhang

Computer Vision and Pattern Recognition · with Wang · 2020–2021

A researcher in the Science corpus: 3 papers; trusts 405 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhang Zhang trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Shaoqing Ren
  6. Yoshua Bengio
  7. Karen Simonyan
  8. Yann LeCun
  9. Diederik P. Kingma
  10. X. Zhang

Who trusts Zhang Zhang overall

  1. Zehua Sun
  2. Yisheng Song
  3. Lorenzo Bonicelli

Papers from Zhang Zhang's perspective

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

Their papers