Xiao Han

Computer Vision and Pattern Recognition · with Arbel · 2010–2017

A researcher in the Science corpus: 3 papers; trusts 102 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Xiao Han trusts overall

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

  1. Evan Shelhamer
  2. Olaf Ronneberger
  3. Kaiming He
  4. Yann LeCun
  5. Alex Krizhevsky
  6. Jonathan Long
  7. Geoffrey E. Hinton
  8. Diederik P. Kingma
  9. Trevor Darrell
  10. Philipp Fischer

Who trusts Xiao Han overall

  1. Arvid Lundervold
  2. Jihye Yun
  3. Berkman Sahiner
  4. Yongwon Cho
  5. Aria Pezeshk
  6. Keewon Shin
  7. Greg Zaharchuk
  8. Lubomir M. Hadjiiski
  9. K. Spuhler

Papers from Xiao Han's perspective

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

Their papers