Haowen Luo

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 2 papers; trusts 196 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Haowen Luo trusts overall

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

  1. Kaiming He
  2. Liang Zheng
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Yoshua Bengio
  7. Jia Deng
  8. Yann LeCun
  9. Diederik P. Kingma
  10. X. Zhang

Who trusts Haowen Luo overall

  1. Zhicheng Sun
  2. Mang Ye
  3. Siyuan Li

Papers from Haowen Luo's perspective

Ordered by how strongly the researchers Haowen Luo 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. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Gradient-based learning applied to document recognition
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers