Kerui Ren

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kerui Ren trusts overall

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

  1. Jonathan T. Barron
  2. Bernhard Kerbl
  3. Ben Mildenhall
  4. Johannes L. Schönberger
  5. Matthew Tancik
  6. Peter Hedman
  7. T. Muller
  8. Diederik P. Kingma
  9. Geoffrey E. Hinton
  10. Zehao Yu

Papers from Kerui Ren's perspective

Ordered by how strongly the researchers Kerui Ren 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  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. GENERATIVE ADVERSARIAL NETS
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers