Yuebin Wang

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yuebin Wang trusts overall

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

  1. Yi Yang
  2. Aude Oliva
  3. Andrew Zisserman
  4. Antonio Torralba
  5. Geoffrey E. Hinton
  6. Yunchao Gong
  7. L. V. D. van der Maaten
  8. Alex Krizhevsky
  9. Svetlana Lazebnik
  10. Shawn D. Newsam

Papers from Yuebin Wang's perspective

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

Their papers