Xuanqin Mou

Computer Vision and Pattern Recognition · 2005–2017

A researcher in the Science corpus: 7 papers; trusts 87 researchers and is trusted by 49 researchers here, as inferred from the citation graph.

Subfields

Whom Xuanqin Mou trusts overall

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

  1. A. Bovik
  2. Hamid R. Sheikh
  3. Anush K. Moorthy
  4. Zhou Wang
  5. Michele A. Saad
  6. David G. Lowe
  7. Alex Smola
  8. Eero P. Simoncelli
  9. Damon M. Chandler
  10. Nikolay N. Ponomarenko

Who trusts Xuanqin Mou overall

  1. Kede Ma
  2. Jongyoo Kim
  3. Ke Gu
  4. Lei Zhang
  5. Guangtao Zhai
  6. Hang Zhao
  7. Xiongkuo Min
  8. Sanghoon Lee
  9. Wufeng Xue
  10. Lin Zhang

Papers from Xuanqin Mou's perspective

Ordered by how strongly the researchers Xuanqin Mou 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. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers