Ming Jiang

Computer Vision and Pattern Recognition · with Zhao · 2014–2015

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom Ming Jiang trusts overall

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

  1. B. Tatler
  2. Antonio Torralba
  3. Christof Koch
  4. Juan Xu
  5. Moran Cerf
  6. Jia Deng
  7. Tilke Judd
  8. Neil D. B. Bruce
  9. Jonathan Harel
  10. Laurent Itti

Who trusts Ming Jiang overall

  1. Wenguan Wang
  2. Junting Pan
  3. Jianbing Shen
  4. Marcella Cornia
  5. Srinivas S. S. Kruthiventi
  6. Yusuke Sugano
  7. Ruohan Zhang
  8. Drew Linsley
  9. Matthias Kümmerer
  10. Tingting Qiao

Papers from Ming Jiang's perspective

Ordered by how strongly the researchers Ming Jiang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet: A large-scale hierarchical image database
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Microsoft COCO: Common Objects in Context
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers