Xiao Jin

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 2 papers; trusts 98 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiao Jin trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Kaiming He
  4. Yoshua Bengio
  5. Yann LeCun
  6. Ross B. Girshick
  7. Diederik P. Kingma
  8. Ilya Sutskever
  9. Karen Simonyan
  10. Jia Deng

Who trusts Xiao Jin overall

  1. Lin Wang
  2. Linfeng Zhang
  3. Yu Liu
  4. Zheng Li
  5. Kuk-Jin Yoon
  6. Jianping Gou
  7. Zhicheng Sun
  8. Xuhui Jia
  9. Chenglong Bao

Papers from Xiao Jin's perspective

Ordered by how strongly the researchers Xiao Jin 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. Gradient-based learning applied to document recognition
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers