Aaron Loh

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Aaron Loh trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)

Papers from Aaron Loh's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Unsupervised Visual Representation Learning by Context Prediction
  3. Representation Learning with Contrastive Predictive Coding
  4. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  5. Colorful Image Colorization
  6. ImageNet classification with deep convolutional neural networks
  7. Unsupervised Representation Learning by Predicting Image Rotations
  8. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  9. Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
  10. Learning deep representations by mutual information estimation and maximization

Their papers