Yun Jiang

Computer Vision and Pattern Recognition · with Saxena · 2011–2013

A researcher in the Science corpus: 5 papers; trusts 198 researchers and is trusted by 78 researchers here, as inferred from the citation graph.

Subfields

Whom Yun Jiang trusts overall

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

  1. Radford M. Neal
  2. Ashutosh Saxena
  3. Thorsten Joachims
  4. Andrew Y. Ng
  5. Hema Swetha Koppula
  6. Yee Whye Teh
  7. Daphne Koller
  8. Geoffrey E. Hinton
  9. B. Taskar
  10. Rob Fergus

Who trusts Yun Jiang overall

  1. Hema Swetha Koppula
  2. Ashutosh Saxena
  3. Douglas Morrison
  4. Thomas Whelan
  5. Abhinav Kumar Gupta
  6. P. Hanrahan
  7. Lerrel Pinto
  8. Rudhir Gupta
  9. Yixin Zhu
  10. Sulabh Kumra

Papers from Yun Jiang's perspective

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

Their papers