J. Ruan

Computer Vision and Pattern Recognition · with He · 2018

A researcher in the Science corpus: 1 paper; trusts 170 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom J. Ruan trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Diederik P. Kingma
  4. Cong Yao
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Karen Simonyan
  8. Andrew Zisserman
  9. Shaoqing Ren
  10. Xiang Bai

Who trusts J. Ruan overall

  1. Minghui Liao
  2. Wenhai Wang
  3. Pengyuan Lyu

Papers from J. Ruan's perspective

Ordered by how strongly the researchers J. Ruan 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers