Jiaxian Guo

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 5 papers; trusts 446 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jiaxian Guo trusts overall

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

  1. Alex Krizhevsky
  2. Geoffrey E. Hinton
  3. Ronald J. Williams
  4. Yann LeCun
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Kaiming He
  8. Alex Graves
  9. Ilya Sutskever
  10. Richard S. Sutton

Who trusts Jiaxian Guo overall

  1. Zhen Wang
  2. Sergey I. Nikolenko
  3. Md. Akmal Haidar
  4. Liu Liu
  5. Thomas Scialom
  6. Qingyang Wu
  7. Stanislau Semeniuta
  8. Wangchunshu Zhou
  9. Cyprien de Masson d'Autume
  10. Guy Tevet

Papers from Jiaxian Guo's perspective

Ordered by how strongly the researchers Jiaxian Guo 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. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers