Jun Xing

Computer Vision and Pattern Recognition · with Li · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 7 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. Alex Graves

Who trusts Jun Xing overall

  1. Xiaoyu Li
  2. Ayan Kumar Bhunia
  3. Bo Zhang

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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. ImageNet: A large-scale hierarchical image database
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers