Jinsun Park

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 46 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jinsun Park trusts overall

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

  1. Kaiming He
  2. Sifei Liu
  3. Yann LeCun
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. David G. Lowe
  7. Ross B. Girshick
  8. Rob Fergus
  9. David Eigen
  10. Jure Zbontar

Who trusts Jinsun Park overall

  1. Mu Hu
  2. Mu Hu

Papers from Jinsun Park's perspective

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

Their papers