Zhe-nan Lin

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zhe-nan Lin trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Shaoqing Ren
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Tsung-Yi Lin
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Yann LeCun
  10. Ilya Sutskever

Papers from Zhe-nan Lin's perspective

Ordered by how strongly the researchers Zhe-nan Lin 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. ImageNet: A large-scale hierarchical image database
  4. Microsoft COCO: Common Objects in Context
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers