Renjie Wan

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Renjie Wan trusts overall

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

  1. Diederik P. Kingma
  2. Yonghua Zhang
  3. Brian L. Trippe
  4. Geoffrey E. Hinton
  5. Zhou Wang
  6. Kaiming He
  7. Alex Krizhevsky
  8. Jiaying Liu
  9. Yoshua Bengio
  10. Kin Gwn Lore

Papers from Renjie Wan's perspective

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

Their papers