Bin Yang

Computer Vision and Pattern Recognition · with Lei · 2016

A researcher in the Science corpus: 1 paper; trusts 256 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Yang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Christian Szegedy
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. Geoffrey E. Hinton
  7. Andrew Zisserman
  8. Sergey Ioffe
  9. Navneet Dalal
  10. Pedro F. Felzenszwalb

Who trusts Bin Yang overall

  1. Zhaowei Cai
  2. Wanli Ouyang
  3. Nuno Vasconcelos
  4. Xiongwei Wu
  5. Kai Chen
  6. Kun Wang
  7. Xizhou Zhu
  8. Xiaogang Wang
  9. Li Liu
  10. Kai Kang

Papers from Bin Yang's perspective

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

Their papers