Sungyong Baik

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Sungyong Baik trusts overall

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

  1. Radu Timofte
  2. Kaiming He
  3. Yulun Zhang
  4. Chao Dong
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Eirikur Agustsson
  9. Yann LeCun
  10. Yoshua Bengio

Who trusts Sungyong Baik overall

  1. Kelvin C. K. Chan

Papers from Sungyong Baik's perspective

Ordered by how strongly the researchers Sungyong Baik 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. Gradient-based learning applied to document recognition
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers