Hyuk-Jae Lee

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 165 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Hyuk-Jae Lee trusts overall

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

  1. Ross B. Girshick
  2. Joseph Redmon
  3. Kaiming He
  4. Shaoqing Ren
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Tsung-Yi Lin
  8. Christian Szegedy
  9. Sergey Ioffe
  10. Ali Farhadi

Who trusts Hyuk-Jae Lee overall

  1. Hongpeng Liao
  2. Chien-Yao Wang
  3. Alexey Bochkovskiy
  4. S. Cong
  5. Yang Zhou

Papers from Hyuk-Jae Lee's perspective

Ordered by how strongly the researchers Hyuk-Jae 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers