Minchul Kim

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 133 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minchul Kim trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Ross B. Girshick
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Jiankang Deng
  7. X. Zhang
  8. Shaoqing Ren
  9. Yann LeCun
  10. Gary B. Huang

Papers from Minchul Kim's perspective

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

Their papers