Taeyoung Kim

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 74 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Taeyoung Kim trusts overall

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

  1. Andrea Vedaldi
  2. João Carreira
  3. Andrew Zisserman
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Jitendra Malik
  7. Kaiming He
  8. Ian Endres
  9. Yong Jae Lee
  10. Ross B. Girshick

Who trusts Taeyoung Kim overall

  1. Wenguan Wang
  2. Jianbing Shen
  3. Yi-Hsuan Tsai
  4. Ning Xu
  5. Suyog Dutt Jain
  6. Fanyi Xiao
  7. Xiaoxiao Li
  8. Fahad Lateef
  9. Alon Faktor
  10. Federico Perazzi

Papers from Taeyoung Kim's perspective

Ordered by how strongly the researchers Taeyoung Kim 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. 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. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers