Changhyun Choi

Computer Vision and Pattern Recognition · 2011–2020

A researcher in the Science corpus: 4 papers; trusts 82 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Changhyun Choi trusts overall

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

  1. David G. Lowe
  2. John F. Canny
  3. Tom Drummond
  4. Dana H. Ballard
  5. Dariu M. Gavrila
  6. Edward Rosten
  7. Arnaud Doucet
  8. Luca Vacchetti
  9. Ming-Yu Liu
  10. Ajmal Saeed Mian

Who trusts Changhyun Choi overall

  1. Oncel Tuzel
  2. É. Marchand
  3. Yin Zhou
  4. Yuichi Taguchi
  5. Hideaki Uchiyama
  6. Ming-Yu Liu
  7. Fabien Spindler
  8. Hema Swetha Koppula

Papers from Changhyun Choi's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Going deeper with convolutions
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers