Che-Tsung Lin

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Che-Tsung Lin trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Shaoqing Ren
  4. Jun-Yan Zhu
  5. Ming-Yu Liu
  6. Geoffrey E. Hinton
  7. Phillip Isola
  8. Alex Krizhevsky
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Che-Tsung Lin overall

  1. Nantheera Anantrasirichai
  2. Jaehoon Choi

Papers from Che-Tsung Lin's perspective

Ordered by how strongly the researchers Che-Tsung Lin trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Going deeper with convolutions

Their papers