Jun Xu

Computer Vision and Pattern Recognition · with Zhang · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 105 researchers and is trusted by 3 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. Stefan Roth
  2. David L. Donoho
  3. Michael Elad
  4. Julien Mairal
  5. Kostadin Dabov
  6. Radford M. Neal
  7. Shuhang Gu
  8. E.J. Candes
  9. Daniel Zoran
  10. Lei Zhang

Who trusts Jun Xu overall

  1. Syed Waqas Zamir
  2. Ademola Enitan Ilesanmi
  3. Kai Zhang
  4. Xiao-Jiao Mao
  5. Ke Xu
  6. Yulun Zhang
  7. Ying Tai
  8. Shi Guo
  9. Tim Brooks
  10. Aditya Arora

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. 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. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers