Hui Ji

Computer Vision and Pattern Recognition · 2012 IEEE Conference on Computer Vision and Pattern Recognition · 2009–2015

A researcher in the Science corpus: 5 papers; trusts 265 researchers and is trusted by 51 researchers here, as inferred from the citation graph.

Subfields

Whom Hui Ji trusts overall

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

  1. E.J. Candes
  2. Jian-Feng Cai
  3. Sam T. Roweis
  4. David G. Lowe
  5. Kostadin Dabov
  6. Stéphane Mallat
  7. David L. Donoho
  8. Andrew Zisserman
  9. Manik Varma
  10. Geoffrey E. Hinton

Who trusts Hui Ji overall

  1. Shuhang Gu
  2. Lei Zhang
  3. Weisheng Dong
  4. Jian Zhang
  5. Shandong Wu
  6. Wangmeng Zuo
  7. Xueyang Fu
  8. Martin Danelljan
  9. Jun Xu
  10. Yang Liu

Papers from Hui Ji's perspective

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

Their papers