Xinxin Du

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 276 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Xinxin Du trusts overall

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

  1. Ross B. Girshick
  2. Karen Simonyan
  3. Bo Li
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Xiaozhi Chen
  8. Andrew Zisserman
  9. Yoshua Bengio
  10. Diederik P. Kingma

Who trusts Xinxin Du overall

  1. Ming Liang
  2. Garrick Brazil
  3. Di Feng
  4. Tengteng Huang
  5. Binh Yang
  6. Eduardo Arnold
  7. Yulong Cao
  8. Xiaoming Liu
  9. Zhe Liu
  10. Shaoshuai Shi

Papers from Xinxin Du's perspective

Ordered by how strongly the researchers Xinxin Du 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. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers