Xiao Gu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiao Gu trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Keith Rayner (in Cognitive Science & Psychology)
  3. James M. Rehg (in Computer Vision and Pattern Recognition)
  4. Antonio Torralba (in Computer Vision and Pattern Recognition)

Papers from Xiao Gu's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet: A large-scale hierarchical image database
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
  6. Automatic photo pop-up
  7. Learning to predict where humans look (IEEE International Conference on Computer Vision)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Unsupervised Monocular Depth Estimation with Left-Right Consistency
  10. Gradient-based learning applied to document recognition

Their papers