S. Sommer

Computer Vision and Pattern Recognition · with Fletcher · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Sommer trusts overall

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

  1. Xavier Pennec

Papers from S. Sommer's perspective

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

  1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
  2. Learning Deep Architectures for AI
  3. Generative Adversarial Networks
  4. Principal geodesic analysis for the study of nonlinear statistics of shape (IEEE Transactions on Medical Imaging)
  5. Intrinsic Statistics on Riemannian Manifolds: Basic Tools for Geometric Measurements (Journal of Mathematical Imaging and Vision)
  6. Latent Space Oddity: on the Curvature of Deep Generative Models (International Conference on Learning Representations)
  7. Stochastic Analysis on Manifolds
  8. Simulation of conditioned diffusion and application to parameter estimation
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. ImageNet classification with deep convolutional neural networks

Their papers