J. Liew

Computer Vision and Pattern Recognition · with Feng · 2017–2025

A researcher in the Science corpus: 10 papers; trusts 1,352 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

Whom J. Liew trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Karen Simonyan
  6. Andrew Zisserman
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Tsung-Yi Lin
  10. Yoshua Bengio

Who trusts J. Liew overall

  1. Zheng Lin
  2. Konstantin Sofiiuk
  3. Shiyin Zhang
  4. Xi Chen
  5. Qin Liu
  6. Scott D. Cohen
  7. Zheng-Peng Duan
  8. Soumajit Majumder
  9. Zhao Zhang
  10. Won-Dong Jang

Papers from J. Liew's perspective

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

Their papers