Zixin Luo

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 8 papers; trusts 547 researchers and is trusted by 16 researchers here, as inferred from the citation graph.

Subfields

Whom Zixin Luo trusts overall

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

  1. David G. Lowe
  2. Kaiming He
  3. Andrew Zisserman
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Johannes L. Schönberger
  7. Alex Krizhevsky
  8. Yann LeCun
  9. Ross B. Girshick
  10. Diederik P. Kingma

Who trusts Zixin Luo overall

  1. Yao Yao
  2. Vincent Leroy
  3. Gernot Riegler
  4. Zexiang Xu
  5. Jiayi Ma
  6. Jiayu Yang
  7. Anpei Chen
  8. Hongkai Chen
  9. Yohann Cabon
  10. Lior Yariv

Papers from Zixin Luo's perspective

Ordered by how strongly the researchers Zixin Luo 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. ImageNet: A large-scale hierarchical image database
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Gradient-based learning applied to document recognition
  8. Long Short-Term Memory
  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