Shangling Jui

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 4 papers; trusts 319 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Shangling Jui trusts overall

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

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

Who trusts Shangling Jui overall

  1. Da-Wei Zhou

Papers from Shangling Jui's perspective

Ordered by how strongly the researchers Shangling Jui 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Learning Multiple Layers of Features from Tiny Images
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers