Chuming Lin

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chuming Lin trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Ross B. Girshick
  4. Andrew Zisserman
  5. Geoffrey E. Hinton
  6. Shaoqing Ren
  7. Alex Krizhevsky
  8. João Carreira
  9. Jia Deng
  10. Karen Simonyan

Who trusts Chuming Lin overall

  1. Chen-Lin Zhang

Papers from Chuming Lin's perspective

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

Their papers