Zibo Lin

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 60 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zibo Lin trusts overall

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

  1. Geoffrey E. Hinton
  2. Andrew Zisserman
  3. Alex Krizhevsky
  4. Kaiming He
  5. Karen Simonyan
  6. Yoshua Bengio
  7. Ross B. Girshick
  8. João Carreira
  9. Yann LeCun

Papers from Zibo Lin's perspective

Ordered by how strongly the researchers Zibo Lin 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. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Distilling the Knowledge in a Neural Network (arXiv.org)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers