Xiaohan Nie

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 5 papers; trusts 930 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaohan Nie trusts overall

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

  1. Ross B. Girshick
  2. Ivan Laptev
  3. Geoffrey E. Hinton
  4. Kaiming He
  5. Karen Simonyan
  6. Alex Krizhevsky
  7. Deva Ramanan
  8. Andrew Zisserman
  9. Yann LeCun
  10. Jitendra Malik

Who trusts Xiaohan Nie overall

  1. Fei Han
  2. Jun Liu
  3. Mengyuan Liu
  4. Hossein Rahmani
  5. Martin Garbade
  6. Zehua Sun
  7. Donglai Xiang
  8. Wenbin Du
  9. Yucheng Chen
  10. Georgia Gkioxari

Papers from Xiaohan Nie's perspective

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

Their papers