Sangrok Lee

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 33 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Sangrok Lee trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Tsung-Yi Lin
  4. Xiangyu Zhang
  5. Alex Krizhevsky
  6. Christian Szegedy
  7. Karen Simonyan
  8. Geoffrey E. Hinton
  9. Sergey Zagoruyko
  10. Piotr Doll'ar

Who trusts Sangrok Lee overall

  1. Chien-Yao Wang

Papers from Sangrok Lee's perspective

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

Their papers