Jianmin Jiang

Computer Vision and Pattern Recognition · with Cheng · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 618 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Jianmin Jiang trusts overall

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

  1. Kaiming He
  2. David G. Lowe
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Christian Szegedy
  8. Andrew Zisserman
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Jianmin Jiang overall

  1. Ming-Ming Cheng
  2. Deng-Ping Fan
  3. Qingming Huang
  4. Ling Shao

Papers from Jianmin Jiang's perspective

Ordered by how strongly the researchers Jianmin 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. ImageNet classification with deep convolutional neural networks
  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. Attention is All you Need (Neural Information Processing Systems)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers