J. Choi

Computer Vision and Pattern Recognition · ECCV Workshops · 2014–2019

A researcher in the Science corpus: 7 papers; trusts 394 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom J. Choi trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yann LeCun
  5. Yoshua Bengio
  6. Sergey Zagoruyko
  7. Diederik P. Kingma
  8. Christian Szegedy
  9. Ilya Sutskever
  10. Karen Simonyan

Who trusts J. Choi overall

  1. Jianping Gou
  2. Lin Wang

Papers from J. Choi's perspective

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

Their papers