Weikuan Jia

Computer Vision and Pattern Recognition · 2019–2022

A researcher in the Science corpus: 3 papers; trusts 55 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Weikuan Jia trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Robert Tibshirani
  4. Yoshua Bengio
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Shaoqing Ren
  8. Ilya Sutskever
  9. Yann LeCun
  10. Aapo Hyvärinen

Papers from Weikuan Jia's perspective

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

Their papers