Kai Zhang

Computer Vision and Pattern Recognition · International Conference on Learning Representations · 2023–2024

A researcher in the Science corpus: 3 papers; trusts 253 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Zhang trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Yann LeCun
  8. Andrew Zisserman
  9. Ilya Sutskever
  10. Ross B. Girshick

Who trusts Kai Zhang overall

  1. Stanislaw Szymanowicz
  2. Ruiqi Gao
  3. Jiaxiang Tang
  4. Jiale Xu
  5. Yinghao Xu

Papers from Kai Zhang's perspective

Ordered by how strongly the researchers Kai 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers