Xiaobing Han

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 50 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaobing Han trusts overall

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

  1. Alex Krizhevsky
  2. Kaiming He
  3. Thomas Hofmann
  4. Geoffrey E. Hinton
  5. Liangpei Zhang
  6. Bei Zhao
  7. David G. Lowe
  8. Ilya Sutskever
  9. Svetlana Lazebnik
  10. Jia Deng

Who trusts Xiaobing Han overall

  1. Ting Bai

Papers from Xiaobing Han's perspective

Ordered by how strongly the researchers Xiaobing Han 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers