Qiong Wu

Computer Vision and Pattern Recognition · with Dai · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Qiong Wu trusts overall

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

  1. Shengcai Liao

Who trusts Qiong Wu overall

  1. Mang Ye

Papers from Qiong Wu's perspective

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

  1. Histograms of oriented gradients for human detection
  2. GENERATIVE ADVERSARIAL NETS
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Going deeper with convolutions
  8. Image-to-Image Translation with Conditional Adversarial Networks
  9. ImageNet: A large-scale hierarchical image database
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers