J. Choo

Computer Vision and Pattern Recognition · 2013–2022

A researcher in the Science corpus: 8 papers; trusts 661 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

Whom J. Choo trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Diederik P. Kingma
  5. Yoshua Bengio
  6. Karen Simonyan
  7. Yann LeCun
  8. Ilya Sutskever
  9. Andrew Zisserman
  10. Ross B. Girshick

Who trusts J. Choo overall

  1. Tuan M. V. Le
  2. Shixia Liu
  3. Hady W. Lauw
  4. Xiting Wang

Papers from J. Choo's perspective

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

Their papers