Litian Tao

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Litian Tao trusts overall

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

  1. Laurent Itti
  2. Neil D. B. Bruce
  3. Xiaodi Hou
  4. Ian Endres
  5. Yufei Ma
  6. Timor Kadir
  7. Nicholas J. Butko

Who trusts Litian Tao overall

  1. Zhuowen Tu
  2. Jiajun Wu

Papers from Litian Tao's perspective

Ordered by how strongly the researchers Litian Tao 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. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
  4. ImageNet: A large-scale hierarchical image database
  5. Going deeper with convolutions
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Gradient-based learning applied to document recognition
  9. Graph-Based Visual Saliency
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers