Grace Chu

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 177 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Grace Chu trusts overall

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

  1. Geoffrey E. Hinton
  2. Kaiming He
  3. Alex Krizhevsky
  4. Quoc V. Le
  5. Karen Simonyan
  6. Barret Zoph
  7. Yoshua Bengio
  8. Yann LeCun
  9. Ross B. Girshick
  10. Diederik P. Kingma

Who trusts Grace Chu overall

  1. Mingxing Tan
  2. Chien-Yao Wang
  3. Yinpeng Chen
  4. Irwan Bello
  5. Sachin Mehta
  6. Changlin Li
  7. Kai Han
  8. Xiangxiang Chu
  9. Young Geun Kim
  10. Christoph Feichtenhofer

Papers from Grace Chu's perspective

Ordered by how strongly the researchers Grace Chu 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. Long Short-Term Memory
  5. ImageNet: A large-scale hierarchical image database
  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. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers