JunYoung Gwak

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 9 papers; trusts 1,033 researchers and is trusted by 1,343 researchers here, as inferred from the citation graph.

Subfields

Whom JunYoung Gwak 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. Diederik P. Kingma
  6. David G. Lowe
  7. Yann LeCun
  8. Yoshua Bengio
  9. Karen Simonyan
  10. Andrew Zisserman

Who trusts JunYoung Gwak overall

  1. Christopher Bongsoo Choy
  2. Jiajun Wu
  3. Bo Yang
  4. Xian-Feng Han
  5. Jitendra Malik
  6. David Novotný
  7. Rohit Girdhar
  8. Jhony Kaesemodel Pontes
  9. Xiaoyang Wu
  10. Zhijian Liu

Papers from JunYoung Gwak's perspective

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

Their papers