In-Jae Yu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 272 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom In-Jae Yu trusts overall

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

  1. Karen Simonyan
  2. Kaiming He
  3. Jiwoon Ahn
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Andrew Zisserman
  7. Ross B. Girshick
  8. Philipp Krahenbuhl
  9. Liang-Chieh Chen
  10. Yann LeCun

Papers from In-Jae Yu's perspective

Ordered by how strongly the researchers In-Jae Yu 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. 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. 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