Hyunsoo Kim

Computer Vision and Pattern Recognition · with Wang · 2015–2017

A researcher in the Science corpus: 3 papers; trusts 60 researchers and is trusted by 21 researchers here, as inferred from the citation graph.

Subfields

Whom Hyunsoo Kim trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Sergey Ioffe
  4. Alex Krizhevsky
  5. Andrew L. Maas
  6. Yoshua Bengio
  7. Christian Szegedy
  8. Yann LeCun
  9. Jimmy Ba
  10. Kaiming He

Who trusts Hyunsoo Kim overall

  1. Sagie Benaim
  2. Yongjun Hong
  3. Hsin-Ying Lee
  4. Xun Huang
  5. Xingchao Peng
  6. Garrett Wilson
  7. Lior Wolf
  8. Mei Wang
  9. Ming-Yu Liu

Papers from Hyunsoo Kim's perspective

Ordered by how strongly the researchers Hyunsoo Kim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. GENERATIVE ADVERSARIAL NETS
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers