Jingwei Liang

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jingwei Liang trusts overall

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

  1. Mauricio D. Sacchi
  2. Michael Elad
  3. Jian-Feng Cai
  4. Julien Mairal
  5. Xiaoqun Zhang
  6. Michal Aharon
  7. Stanley J. Osher
  8. Ingrid Daubechies
  9. Barbara Olshausen
  10. Michael S. Lewicki

Who trusts Jingwei Liang overall

  1. Siwei Yu
  2. Jianwei Ma

Papers from Jingwei Liang's perspective

Ordered by how strongly the researchers Jingwei Liang 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers