Jun Xing

Computer Vision and Pattern Recognition · with Deng · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Xing trusts overall

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

  1. Geoffrey E. Hinton
  2. Alex Krizhevsky
  3. Kaiming He
  4. Yoshua Bengio
  5. Sergey Ioffe
  6. Christian Szegedy
  7. Ilya Sutskever
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Ross B. Girshick

Papers from Jun Xing's perspective

Ordered by how strongly the researchers Jun Xing 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (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. Learning Multiple Layers of Features from Tiny Images

Their papers