Huiye Liu

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 45 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Huiye Liu trusts overall

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

  1. Kaiming He
  2. Debesh Jha
  3. Nima Tajbakhsh
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Jorge Bernal
  8. Yoshua Bengio
  9. Ashish Vaswani
  10. Diederik P. Kingma

Who trusts Huiye Liu overall

  1. Hong-Yu Zhou
  2. Bingzhi Chen
  3. Haonan Wang
  4. Jeya Maria Jose Valanarasu
  5. Ali Hatamizadeh
  6. He-lu Huang
  7. Abdelrahman M. Shaker
  8. Jiacheng Ruan
  9. Ailiang Lin
  10. B. Dong

Papers from Huiye Liu's perspective

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

Their papers