Lei Tan

Computer Vision and Pattern Recognition · with Gui · 2015–2016

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Lei Tan trusts overall

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

  1. Yi Yang

Who trusts Lei Tan overall

  1. Hanbyul Joo
  2. Dushyant Mehta
  3. Tomas Simon

Papers from Lei Tan's perspective

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

  1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Going deeper with convolutions
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers