Jian Shi

Computer Vision and Pattern Recognition · with Dong · 2016

A researcher in the Science corpus: 1 paper; trusts 34 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jian Shi trusts overall

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

  1. David Eigen
  2. Sean Bell
  3. Joerg Liebelt
  4. Olaf Ronneberger
  5. Rob Fergus
  6. Michael Stark
  7. Kaiming He
  8. Cordelia Schmid
  9. Daniel J. Butler
  10. Geoffrey E. Hinton

Who trusts Jian Shi overall

  1. Zhengqin Li
  2. Zhengqi Li
  3. Soumyadip Sengupta
  4. Jiajun Wu
  5. Yifan Wang
  6. Michael Janner
  7. Noah Snavely
  8. Zexiang Xu
  9. Angjoo Kanazawa
  10. Felice Serena

Papers from Jian Shi's perspective

Ordered by how strongly the researchers Jian Shi 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  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. Going deeper with convolutions

Their papers