Han Xiao

Computer Vision and Pattern Recognition · with Rasul · 2017

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 504 researchers here, as inferred from the citation graph.

Subfields

Whom Han Xiao trusts overall

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

  1. Alex Krizhevsky
  2. Yann LeCun
  3. Dan Claudiu Ciresan
  4. Jia Deng
  5. Gregory Cohen
  6. Li Wan
  7. L. Eon Bottou
  8. Yoshua Bengio
  9. Geoffrey E. Hinton
  10. J. Urgen Schmidhuber

Who trusts Han Xiao overall

  1. Fei Ye
  2. Alexander Rainer Tassilo Gepperth
  3. Yang Song
  4. Adrian G. Bors
  5. Jaehong Yoon
  6. Timothée Lesort
  7. Benedikt Pfülb
  8. Stanislaw Jastrzebski
  9. Martin Wistuba
  10. Nicholas Carlini

Papers from Han Xiao's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Learning Multiple Layers of Features from Tiny Images
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet: A large-scale hierarchical image database
  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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers