Jun Xu

Computer Vision and Pattern Recognition · with Hou · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jun Xu trusts overall

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

  1. Xueyang Fu
  2. Hamid R. Sheikh
  3. Yu Li
  4. A. Bovik
  5. Carlo Tomasi
  6. Turgay Çelik
  7. Chulwoo Lee
  8. Zhou Wang
  9. Heng-Da Cheng
  10. Ming-Ming Cheng

Who trusts Jun Xu overall

  1. Jiaying Liu
  2. Zhenqi Fu

Papers from Jun Xu's perspective

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

Their papers