Baojun Zhao

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Baojun Zhao trusts overall

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

  1. Geoffrey E. Hinton
  2. G. Huang
  3. Nitish Srivastava
  4. Yoshua Bengio

Who trusts Baojun Zhao overall

  1. Zikun Liu

Papers from Baojun Zhao's perspective

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

  1. Histograms of oriented gradients for human detection
  2. Distinctive Image Features from Scale-Invariant Keypoints
  3. A Fast Learning Algorithm for Deep Belief Nets
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Reading Digits in Natural Images with Unsupervised Feature Learning
  7. Extracting and composing robust features with denoising autoencoders
  8. Greedy Layer-Wise Training of Deep Networks
  9. Gradient-based learning applied to document recognition
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers