Qiang Wu

Computer Vision and Pattern Recognition · with Castleman · 2010–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Qiang Wu trusts overall

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

  1. Kaiming He

Who trusts Qiang Wu overall

  1. Erik H. W. Meijering
  2. Fuyong Xing

Papers from Qiang Wu's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Fully convolutional networks for semantic segmentation
  3. Densely Connected Convolutional Networks
  4. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  5. ImageNet classification with deep convolutional neural networks
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet: A large-scale hierarchical image database
  9. A Naturalistic Open Source Movie for Optical Flow Evaluation
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers