Liting Lin

Computer Vision and Pattern Recognition · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 326 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Liting Lin trusts overall

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

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

Who trusts Liting Lin overall

  1. Martin Danelljan
  2. Botao Ye
  3. Xin Chen
  4. Houwen Peng
  5. Heng Fan
  6. Christoph Mayer
  7. Goutam Bhat
  8. Hong Chang
  9. Dong Wang
  10. Fredrik K. Gustafsson

Papers from Liting Lin's perspective

Ordered by how strongly the researchers Liting 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers