Junsong Wang

Computer Vision and Pattern Recognition · 2018

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 Junsong Wang trusts overall

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

  1. Alex Krizhevsky
  2. Karen Simonyan
  3. Matthew D. Zeiler
  4. Geoffrey E. Hinton
  5. Joseph Redmon
  6. Jia Deng
  7. Ilya Sutskever
  8. Andrew Zisserman
  9. Rob Fergus
  10. Andreas Geiger

Papers from Junsong Wang's perspective

Ordered by how strongly the researchers Junsong Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers