Hyeongwoo Kim

Computer Vision and Pattern Recognition · 2011–2018

A researcher in the Science corpus: 8 papers; trusts 450 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Hyeongwoo Kim trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Geoffrey E. Hinton
  4. Matthew D. Zeiler
  5. Diederik P. Kingma
  6. Volker Blanz
  7. Ilya Sutskever
  8. Justus Thies
  9. Pablo Garrido
  10. Michael Zollhöfer

Who trusts Hyeongwoo Kim overall

  1. Ayush Kumar Tewari
  2. Yu Deng
  3. Michael Zollhöfer
  4. Justus Thies
  5. Huy Hoang Le Nguyen
  6. Umur Aybars Ciftci
  7. Yao Feng
  8. Keunhong Park
  9. Yisroel Mirsky
  10. Michael J. Black

Papers from Hyeongwoo Kim's perspective

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

Their papers