Nan Jiang

Computer Vision and Pattern Recognition · with Gong · 2019

A researcher in the Science corpus: 1 paper; trusts 209 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nan Jiang trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Jia Deng
  6. Tsung-Yi Lin
  7. Shaoqing Ren
  8. Yann LeCun
  9. Yoshua Bengio
  10. Karen Simonyan

Who trusts Nan Jiang overall

  1. Jinwang Wang

Papers from Nan Jiang's perspective

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

Their papers