Bin Yang

Computer Vision and Pattern Recognition · IEEE Transactions on Information Forensics and Security · 2011–2015

A researcher in the Science corpus: 7 papers; trusts 65 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Bin Yang trusts overall

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

  1. Jun Tian
  2. Mehmet Utku Celik
  3. Diljith M. Thodi
  4. Jessica J. Fridrich
  5. Yongjian Hu
  6. Wien Hong
  7. Xiaolong Li
  8. Lute Kamstra
  9. Lixin Luo
  10. Marcelo J. Weinberger

Who trusts Bin Yang overall

  1. Xiaolong Li
  2. Weiming Zhang
  3. Y. Shi
  4. Xinlu Gui
  5. Ioan-Catalin Dragoi

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. Distinctive Image Features from Scale-Invariant Keypoints
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Going deeper with convolutions
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers