Peiran Ren

Computer Vision and Pattern Recognition · 2016–2023

A researcher in the Science corpus: 4 papers; trusts 673 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Peiran Ren trusts overall

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

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

Who trusts Peiran Ren overall

  1. Fanghua Yu
  2. X. Lin
  3. Tao Yang
  4. Mei Wang
  5. Xi Yin
  6. Rajeev Ranjan
  7. Jingwen He
  8. Yongming Rao

Papers from Peiran Ren's perspective

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

Their papers