Holly Francois

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Holly Francois trusts

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

  1. Alex Graves (in Artificial Intelligence)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)
  3. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Holly Francois's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. Rectified Linear Units Improve Restricted Boltzmann Machines
  5. This PDF file includes: Materials and Methods
  6. WaveNet: A Generative Model for Raw Audio
  7. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  8. Automatic differentiation in PyTorch
  9. ImageNet classification with deep convolutional neural networks
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers