Long Chen

Computer Vision and Pattern Recognition · 5 papers · 2014–2020

A researcher in the Science corpus: 5 papers; trusts 445 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Long Chen trusts overall

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

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

Papers from Long Chen's perspective

Ordered by how strongly the researchers Long Chen 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. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers