Min-koo Kim

Geology · 2014–2019

A researcher in the Science corpus: 4 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Min-koo Kim trusts overall

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

  1. Frederic N. Bosche
  2. Dana H. Ballard
  3. John F. Canny
  4. Naci Yastikli
  5. Fausto Bernardini
  6. Stefan Gumhold
  7. Aleksey Golovinskiy
  8. Yutaka Ohtake
  9. Mark Pauly
  10. Hoon Sohn

Who trusts Min-koo Kim overall

  1. Qian Wang
  2. Jack C. P. Cheng
  3. Hoon Sohn

Papers from Min-koo Kim's perspective

Ordered by how strongly the researchers Min-koo Kim 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. ImageNet: A large-scale hierarchical image database
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Surface reconstruction from unorganized points
  9. Long Short-Term Memory
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers