Roger N. Gunn

Computer Vision and Pattern Recognition · 2000–2018

A researcher in the Science corpus: 7 papers; trusts 2 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Roger N. Gunn trusts overall

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

  1. Stephen M. Smith
  2. Jörn Diedrichsen

Who trusts Roger N. Gunn overall

  1. T. Wyss‐Coray

Papers from Roger N. Gunn's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. GENERATIVE ADVERSARIAL NETS
  3. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  5. Wasserstein GAN
  6. Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
  7. Progressive Growing of GANs for Improved Quality, Stability, and Variation
  8. Are GANs Created Equal? A Large-Scale Study
  9. Learning from Simulated and Unsupervised Images through Adversarial Training
  10. FlowNet: Learning Optical Flow with Convolutional Networks

Their papers