Justin Liang

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 284 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Justin Liang trusts overall

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

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

Who trusts Justin Liang overall

  1. Liang-Chieh Chen
  2. Da-Wei Zhou
  3. Yicheng Liu
  4. Yuhui Yuan
  5. Tomer Amit
  6. Han-Jia Ye
  7. Bowen Cheng

Papers from Justin Liang's perspective

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

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

Their papers