Kai Li

Computer Vision and Pattern Recognition · with Hua · 2015

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kai Li trusts overall

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

  1. Xiaodong Yang
  2. Chih-Jen Lin
  3. Omar Oreifej
  4. Fengjun Lv
  5. Svetlana Lazebnik
  6. Meinard Müller
  7. Wanqing Li
  8. Zicheng Liu
  9. Raviteja Vemulapalli
  10. Y. Zhu

Papers from Kai Li's perspective

Ordered by how strongly the researchers Kai Li 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. Long Short-Term Memory
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. ImageNet: A large-scale hierarchical image database
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers