Mingsong Dou

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mingsong Dou trusts overall

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

  1. David G. Lowe
  2. Richard A. Newcombe
  3. Philipp Krahenbuhl
  4. Michael Bleyer
  5. Jamie Shotton
  6. Daniel Vlasic
  7. Hao Li
  8. Shahram Izadi
  9. Juergen Gall
  10. Vladlen Koltun

Who trusts Mingsong Dou overall

  1. Martin Rünz
  2. Sida Peng
  3. Zerong Zheng
  4. Zhengqi Li
  5. Wenqi Xian
  6. Chen Gao
  7. Keunhong Park
  8. Lourdes de Agapito
  9. Jia-Bin Huang

Papers from Mingsong Dou's perspective

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

Their papers