Chloe Hillier

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 6 papers; trusts 122 researchers and is trusted by 1,657 researchers here, as inferred from the citation graph.

Subfields

Whom Chloe Hillier trusts overall

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

  1. João Carreira
  2. Andrew Zisserman
  3. Kaiming He
  4. Karen Simonyan
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Yann LeCun
  8. Ross B. Girshick
  9. David G. Lowe
  10. Yoshua Bengio

Who trusts Chloe Hillier overall

  1. Christoph Feichtenhofer
  2. João Carreira
  3. Haoqi Fan
  4. Andrew Zisserman
  5. Rohit Girdhar
  6. Yuxin Fang
  7. Limin Wang
  8. Chen Sun
  9. Jiahui Yu
  10. Jie Lei

Papers from Chloe Hillier's perspective

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

Their papers