Xiaoyan Hu

Computer Vision and Pattern Recognition · with Mordohai · 2012

A researcher in the Science corpus: 2 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoyan Hu trusts overall

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

  1. Richard Szeliski
  2. Sebastian Thrun
  3. Brian Curless
  4. S. M. Seitz
  5. Hugues Hoppe
  6. Yasutaka Furukawa
  7. M. Kazhdan
  8. Yebin Liu
  9. Michael Goesele
  10. Christoph Strecha

Papers from Xiaoyan Hu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Distinctive Image Features from Scale-Invariant Keypoints
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  9. A volumetric method for building complex models from range images
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers