Changwen Qu

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Changwen Qu trusts overall

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

  1. Ross B. Girshick
  2. Kaiming He
  3. Paul A. Viola
  4. Alex Krizhevsky
  5. Geoffrey E. Hinton
  6. Yann LeCun
  7. Mark Everingham
  8. Shaoqing Ren
  9. X. Zhang
  10. Yoshua Bengio

Who trusts Changwen Qu overall

  1. Yuanyuan Wang
  2. Zongyong Cui
  3. Shunjun Wei
  4. Abdulaziz Amer Aleissaee

Papers from Changwen Qu's perspective

Ordered by how strongly the researchers Changwen Qu 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers