Inchang Choi

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Inchang Choi trusts overall

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

  1. Karen Simonyan
  2. Evan Shelhamer
  3. Ashwin A. Wagadarikar
  4. Andrew Zisserman
  5. José M. Bioucas-Dias
  6. Geoffrey E. Hinton
  7. Yuting Zhang
  8. Manya V. Afonso
  9. Yoshua Bengio
  10. Alex Krizhevsky

Who trusts Inchang Choi overall

  1. Xin Yuan
  2. Yuanhao Cai
  3. David J. Brady

Papers from Inchang Choi's perspective

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

Their papers