Tim Hartley

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tim Hartley trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  3. Alex Krizhevsky (in Computer Vision and Pattern Recognition)
  4. Ilya Sutskever (in Computer Vision and Pattern Recognition)
  5. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  6. Christian Szegedy (in Computer Vision and Pattern Recognition)
  7. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  8. Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
  9. Jitendra Malik (in Computer Vision and Pattern Recognition)
  10. Shaoqing Ren (in Computer Vision and Pattern Recognition)

Papers from Tim Hartley's perspective

Ordered by how strongly the researchers Tim Hartley trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  3. Rethinking the Inception Architecture for Computer Vision
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. Backpropagation Applied to Handwritten Zip Code Recognition
  6. Caffe: Convolutional Architecture for Fast Feature Embedding
  7. Efficient Estimation of Word Representations in Vector Space
  8. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
  9. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  10. FaceNet: A unified embedding for face recognition and clustering

Their papers