Jie Sun

Computer Vision and Pattern Recognition · with Bobick · 2010

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jie Sun trusts overall

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

  1. Radford M. Neal
  2. David G. Lowe
  3. Michael I. Jordan
  4. Li Fei-Fei
  5. Christoph H. Lampert
  6. Julia A. Lasserre
  7. Rob Fergus
  8. Andrew Y. Ng
  9. Geoffrey E. Hinton
  10. Robert A. Jacobs

Who trusts Jie Sun overall

  1. Tucker Hermans
  2. Vladimir G. Kim
  3. Hema Swetha Koppula
  4. P. Hanrahan
  5. James M. Rehg
  6. Siddhartha Chaudhuri

Papers from Jie Sun's perspective

Ordered by how strongly the researchers Jie Sun 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Distinctive Image Features from Scale-Invariant Keypoints
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers