Yong Pei

Computer Vision and Pattern Recognition · with Liang · 2013

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yong Pei trusts overall

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

  1. Chih-Jen Lin
  2. Navneet Dalal
  3. Pedro F. Felzenszwalb
  4. Wanqing Li
  5. Heng Wang

Papers from Yong Pei's perspective

Ordered by how strongly the researchers Yong Pei trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Histograms of oriented gradients for human detection
  2. ImageNet classification with deep convolutional neural networks
  3. Object Detection with Discriminatively Trained Part Based Models
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. LIBSVM: A library for support vector machines
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers