Jiajun Liang

Computer Vision and Pattern Recognition · with Zhao · 2017–2022

A researcher in the Science corpus: 3 papers; trusts 332 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Jiajun Liang trusts overall

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

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

Who trusts Jiajun Liang overall

  1. Xue Yang

Papers from Jiajun Liang's perspective

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

Their papers