Xiangbo Mao

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiangbo Mao trusts overall

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

  1. Matthijs C. Dorst
  2. Navneet Dalal
  3. Jihun Ham
  4. David M. Blei
  5. T. Landauer
  6. Chang Wang
  7. Nikhil Rasiwasia
  8. Cees G. M. Snoek
  9. Bill Triggs
  10. Andrew Y. Ng

Who trusts Xiangbo Mao overall

  1. Kaiye Wang
  2. Yunchao Wei
  3. Qiyue Yin

Papers from Xiangbo Mao's perspective

Ordered by how strongly the researchers Xiangbo Mao trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Histograms of oriented gradients for human detection
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Distinctive Image Features from Scale-Invariant Keypoints
  5. Latent Dirichlet Allocation
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Learning Multiple Layers of Features from Tiny Images
  9. ImageNet: A large-scale hierarchical image database
  10. Relations Between Two Sets of Variates

Their papers