Diana Wofk

Computer Vision and Pattern Recognition · 2019–2023

A researcher in the Science corpus: 2 papers; trusts 172 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Diana Wofk trusts overall

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

  1. Kaiming He
  2. Yann LeCun
  3. Karen Simonyan
  4. Geoffrey E. Hinton
  5. Tien-Ju Yang
  6. Alex Krizhevsky
  7. Rob Fergus
  8. Andrew Zisserman
  9. Ross B. Girshick
  10. Yoshua Bengio

Who trusts Diana Wofk overall

  1. Abhishek Kadian
  2. Tien-Ju Yang
  3. Joanne Truong
  4. Lihe Yang
  5. Yi Liao

Papers from Diana Wofk's perspective

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

Their papers