Junbin Xiao

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 4 papers; trusts 729 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Junbin Xiao trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Diederik P. Kingma
  4. Alex Krizhevsky
  5. Ross B. Girshick
  6. Shaoqing Ren
  7. Yoshua Bengio
  8. Karen Simonyan
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Junbin Xiao overall

  1. Yuanhan Zhang
  2. Bo Li
  3. Pan Zhou
  4. Qinghao Ye
  5. Feng Li
  6. Zesen Cheng
  7. Lin Xu
  8. Shyamal Buch
  9. Jinming Wu
  10. Tat-seng Chua

Papers from Junbin Xiao's perspective

Ordered by how strongly the researchers Junbin Xiao 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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