Ming Jiang

Computer Vision and Pattern Recognition · with Jiang · 2019

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 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. A. Bovik
  2. Anish Mittal
  3. Diederik P. Kingma
  4. Anush K. Moorthy
  5. Kaiming He
  6. Zhou Wang
  7. Michele A. Saad
  8. Kalpana Seshadrinathan
  9. Zeina Sinno
  10. Jia Deng

Who trusts Ming Jiang overall

  1. Haoning Wu

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

Their papers