Bin Yang

Computer Vision and Pattern Recognition · Information Fusion · 2008–2013

A researcher in the Science corpus: 6 papers; trusts 67 researchers and is trusted by 50 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. Joel A. Tropp
  2. Costas S. Xydeas
  3. Gemma Piella
  4. Gonzalo Pajares
  5. Michael Elad
  6. A. Goshtasby
  7. Vladimir S. Petrovic
  8. Shutao Li
  9. Michal Aharon
  10. David L. Donoho

Who trusts Bin Yang overall

  1. Yu Liu
  2. Shutao Li
  3. Xun Chen
  4. Zengfu Wang
  5. Ming Yin
  6. Leyuan Fang
  7. Xudong Kang
  8. Jiayi Ma
  9. Haitao Yin
  10. Hu Peng

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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. A wavelet tour of signal processing
  8. The Laplacian Pyramid as a Compact Image Code
  9. Long Short-Term Memory
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers