Yakun Liu

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 Yakun Liu trusts

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

  1. Nikos Komodakis (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  4. Sergey Zagoruyko (in Computer Vision and Pattern Recognition)

Papers from Yakun Liu's perspective

Ordered by how strongly the researchers Yakun Liu 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. Distilling the Knowledge in a Neural Network (arXiv.org)
  3. ImageNet classification with deep convolutional neural networks
  4. Wide Residual Networks
  5. Representation Learning with Contrastive Predictive Coding
  6. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  7. Learning Multiple Layers of Features from Tiny Images
  8. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers