J. Deasy

Computer Vision and Pattern Recognition · 2001–2020

A researcher in the Science corpus: 13 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Deasy trusts overall

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

  1. Diederik P. Kingma

Who trusts J. Deasy overall

  1. T. Knöös
  2. Patrick Grossmann

Papers from J. Deasy's perspective

Ordered by how strongly the researchers J. Deasy 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. GENERATIVE ADVERSARIAL NETS
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  7. Gradient-based learning applied to document recognition
  8. Identity Mappings in Deep Residual Networks
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers