Namil Kim

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 5 papers; trusts 261 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Namil Kim trusts overall

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

  1. Ross B. Girshick
  2. Geoffrey E. Hinton
  3. Yann LeCun
  4. Alex Krizhevsky
  5. Piotr Doll'ar
  6. Kaiming He
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. Ilya Sutskever
  10. Navneet Dalal

Who trusts Namil Kim overall

  1. Garrett Wilson
  2. Hui Li
  3. Ke Li
  4. He Huang
  5. Guang-Yuan Hao
  6. Patsorn Sangkloy
  7. Christos Sakaridis
  8. Anirudh Choudhary

Papers from Namil Kim's perspective

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

Their papers