Minkyu Kim

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Minkyu Kim trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. X. Zhang
  4. Geoffrey E. Hinton
  5. Shaoqing Ren
  6. Eric R. Ziegel
  7. Sébastien Marcel

Who trusts Minkyu Kim overall

  1. Jung-Woo Ha
  2. Hyun-woo Koh
  3. Ryuichi Yamamoto
  4. Xiaodong Gu
  5. Wonseok Hwang
  6. Sangdoo Yun
  7. Youngmin Baek
  8. Hyeong-Seok Choi
  9. Sanghyuk Chun
  10. Sang-Woo Lee

Papers from Minkyu Kim's perspective

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

Their papers