Nianhua Xie

Computer Vision and Pattern Recognition · 2011

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

Subfields

Whom Nianhua Xie trusts overall

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

  1. Thorsten Joachims
  2. Alan Hanjalic
  3. Ross Cutler
  4. Cees G. M. Snoek
  5. Ivan Laptev
  6. Shaolei Feng

Who trusts Nianhua Xie overall

  1. Christian Beecks
  2. Min Chen

Papers from Nianhua Xie's perspective

Ordered by how strongly the researchers Nianhua Xie 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. ImageNet: A large-scale hierarchical image database
  5. Going deeper with convolutions
  6. Long Short-Term Memory
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Learning realistic human actions from movies

Their papers