Di Chen

Computer Vision and Pattern Recognition · with Hong · 2019

A researcher in the Science corpus: 1 paper; trusts 124 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Di Chen trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Baochen Sun
  6. Christian Szegedy
  7. Kate Saenko
  8. Pedro F. Felzenszwalb
  9. Yoshua Bengio
  10. Ross B. Girshick

Papers from Di Chen's perspective

Ordered by how strongly the researchers Di Chen 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. Going deeper with convolutions
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. GENERATIVE ADVERSARIAL NETS

Their papers