Hyeong-Seok Choi

Signal Processing · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hyeong-Seok Choi trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Naoya Takahashi
  5. Alex Krizhevsky
  6. David Talkin
  7. Ilya Sutskever
  8. Kaiming He
  9. Yann LeCun
  10. Jimmy Ba

Who trusts Hyeong-Seok Choi overall

  1. Rongjie Huang
  2. Harishchandra Dubey
  3. Sefik Emre Eskimez
  4. Jian Cong
  5. Chandan K. A. Reddy
  6. Zeqian Ju
  7. Yanxin Hu
  8. Vishak Gopal
  9. Dongchao Yang

Papers from Hyeong-Seok Choi's perspective

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

Their papers