J. Qiao

Computer Vision and Pattern Recognition · with Gu · 2013–2018

A researcher in the Science corpus: 2 papers; trusts 52 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Qiao trusts overall

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

  1. G. Huang
  2. Andrea Saltelli
  3. Lin Zhang
  4. A. Bovik
  5. Babak Hassibi
  6. Lei Chen
  7. Anish Mittal
  8. Geoffrey E. Hinton
  9. Ke Gu
  10. Daniel L. Ruderman

Papers from J. Qiao's perspective

Ordered by how strongly the researchers J. Qiao 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. Distilling the Knowledge in a Neural Network (arXiv.org)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers