Hangxin Liu

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hangxin Liu trusts

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

  1. Song-Chun Zhu (in Computer Vision and Pattern Recognition)
  2. David G. Lowe (in Computer Vision and Pattern Recognition)
  3. Derek Hoiem (in Computer Vision and Pattern Recognition)

Papers from Hangxin Liu's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet: A large-scale hierarchical image database
  3. Histograms of oriented gradients for human detection
  4. Human-level control through deep reinforcement learning
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Efficient Estimation of Word Representations in Vector Space
  7. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  8. Gradient-based learning applied to document recognition
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers