Sung Jin Hwang

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 70 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

Whom Sung Jin Hwang trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Johannes Ballé
  5. Alex Graves
  6. Yoshua Bengio
  7. Zhou Wang
  8. Jimmy Ba
  9. Eero P. Simoncelli
  10. Kaiming He

Who trusts Sung Jin Hwang overall

  1. Eirikur Agustsson
  2. David C. Minnen
  3. Fabian Mentzer
  4. Guo Lu
  5. Michael Tschannen
  6. Jiahao Li
  7. Zhihao Hu
  8. Yoojin Choi
  9. Johannes Ballé
  10. Jooyoung Lee

Papers from Sung Jin Hwang's perspective

Ordered by how strongly the researchers Sung Jin Hwang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Learning Multiple Layers of Features from Tiny Images
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers