Munchurl Kim

Computer Vision and Pattern Recognition · 2013–2017

A researcher in the Science corpus: 3 papers; trusts 308 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Munchurl Kim trusts overall

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

  1. Kaiming He
  2. Radu Timofte
  3. Raanan Fattal
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Andrea Vedaldi
  7. Ilya Sutskever
  8. X. Zhang
  9. Ross B. Girshick
  10. Luc Van Gool

Who trusts Munchurl Kim overall

  1. Chaofeng Wang
  2. Yong Guo

Papers from Munchurl Kim's perspective

Ordered by how strongly the researchers Munchurl 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 Large Scale Visual Recognition Challenge
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  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