T. Dawes

Computer Vision and Pattern Recognition · 2013–2017

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

Subfields

Whom T. Dawes trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Karen Simonyan (in Computer Vision and Pattern Recognition)

Papers from T. Dawes's perspective

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

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. Fully convolutional networks for semantic segmentation
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion
  5. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
  6. Perceptual Losses for Real-Time Style Transfer and Super-Resolution
  7. Image quality assessment: from error visibility to structural similarity
  8. Robust Real-time Object Detection
  9. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
  10. Deconvolutional networks

Their papers