Chen-Hsuan Lin

Computer Vision and Pattern Recognition · with Lucey · 2021

A researcher in the Science corpus: 1 paper; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chen-Hsuan Lin trusts overall

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

  1. Richard Tucker
  2. Noah Snavely
  3. Pratul P. Srinivasan
  4. Jia Deng
  5. Diederik P. Kingma
  6. Geoffrey E. Hinton
  7. Anders Heyden
  8. Vincent Sitzmann
  9. Kaiming He
  10. Jakob J. Engel

Who trusts Chen-Hsuan Lin overall

  1. Matthew Tancik
  2. Ben Mildenhall
  3. Wenjing Bian
  4. Jiawei Yang
  5. Mehdi S. M. Sajjadi
  6. Peter Hedman
  7. Pratul P. Srinivasan
  8. Zirui Wang

Papers from Chen-Hsuan Lin's perspective

Ordered by how strongly the researchers Chen-Hsuan 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. Attention is All you Need (Neural Information Processing Systems)
  5. ImageNet: A large-scale hierarchical image database
  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. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers