Yujing Lou

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yujing Lou trusts overall

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

  1. Federico Tombari
  2. Samuele Salti
  3. Radu Bogdan Rusu
  4. Taco Cohen
  5. Roman Klokov
  6. Peter J. Kostelec
  7. Haggai Maron
  8. Li Yi
  9. Hang Su
  10. Michael M. Bronstein

Papers from Yujing Lou's perspective

Ordered by how strongly the researchers Yujing Lou 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers