Myung Jin Choi

Computer Vision and Pattern Recognition · 2010–2012

A researcher in the Science corpus: 3 papers; trusts 377 researchers and is trusted by 152 researchers here, as inferred from the citation graph.

Subfields

Whom Myung Jin Choi trusts overall

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

  1. Antonio Torralba
  2. Radford M. Neal
  3. Zhuowen Tu
  4. Derek Hoiem
  5. Bryan C. Russell
  6. Kevin P. Murphy
  7. Geoffrey E. Hinton
  8. Pedro F. Felzenszwalb
  9. Alexei A. Efros
  10. Alex Krizhevsky

Who trusts Myung Jin Choi overall

  1. Mateusz Malinowski
  2. R. G. Cinbis
  3. Alexander Vezhnevets
  4. Linjie Li
  5. Hamid Izadinia
  6. Cordelia Schmid
  7. Chen Fang
  8. Nikita Dvornik
  9. Thomas Mensink
  10. Qiang Chen

Papers from Myung Jin Choi's perspective

Ordered by how strongly the researchers Myung Jin 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  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