Yongchao Long

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 62 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yongchao Long trusts overall

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

  1. Diederik P. Kingma
  2. Karen Simonyan
  3. Andrew Zisserman
  4. Navneet Dalal
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Kaiming He
  8. Christian Szegedy
  9. Paul A. Viola
  10. Ke Chen

Papers from Yongchao Long's perspective

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

Their papers