Peijin Wang

Computer Vision and Pattern Recognition · 2020–2025

A researcher in the Science corpus: 5 papers; trusts 197 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Peijin Wang 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. Diederik P. Kingma
  6. Yoshua Bengio
  7. Tsung-Yi Lin
  8. Yann LeCun
  9. Ilya Sutskever
  10. Shaoqing Ren

Who trusts Peijin Wang overall

  1. Wei Zhang

Papers from Peijin Wang's perspective

Ordered by how strongly the researchers Peijin Wang 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. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers