Bin Xu

Computer Vision and Pattern Recognition · with Chen · 2018

A researcher in the Science corpus: 1 paper; trusts 667 researchers and is trusted by 43 researchers here, as inferred from the citation graph.

Subfields

Whom Bin Xu trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Tsung-Yi Lin
  4. Karen Simonyan
  5. Piotr Doll'ar
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Shaoqing Ren
  9. Andrew Zisserman
  10. Yann LeCun

Who trusts Bin Xu overall

  1. Tai Wang
  2. Xinzhu Ma
  3. Brady Zhou
  4. Garrick Brazil
  5. Yan Wang
  6. Zechen Liu
  7. Thomas Roddick
  8. Fabian Manhardt
  9. Peiliang Li
  10. Yongjian Chen

Papers from Bin Xu's perspective

Ordered by how strongly the researchers Bin 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers