Qinqin He

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 27 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qinqin He trusts overall

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

  1. Lu Xia
  2. Chen Sun
  3. Gurkirt Singh
  4. Raviteja Vemulapalli
  5. Y. Zhu
  6. Jake K. Aggarwal
  7. Xiaojiang Peng
  8. Pichao Wang

Papers from Qinqin He's perspective

Ordered by how strongly the researchers Qinqin He 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  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. ImageNet Large Scale Visual Recognition Challenge
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers