Zejia Weng

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 237 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Zejia Weng trusts overall

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

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

Papers from Zejia Weng's perspective

Ordered by how strongly the researchers Zejia Weng 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. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers