Lin Gui

Computer Vision and Pattern Recognition · with Joo · 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 Lin Gui trusts overall

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

  1. Deva Ramanan
  2. Bernt Schiele
  3. Ross B. Girshick
  4. Jitendra Malik

Who trusts Lin Gui overall

  1. Hanbyul Joo
  2. Dushyant Mehta

Papers from Lin Gui's perspective

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

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

Their papers