T. Dahlke

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom T. Dahlke trusts overall

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

  1. Richard Szeliski
  2. Ge Wang

Who trusts T. Dahlke overall

  1. Jianwei Ma
  2. Gregory C. Beroza
  3. S. M. Mousavi
  4. Fangshu Yang

Papers from T. Dahlke's perspective

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

  1. Image quality assessment: from error visibility to structural similarity
  2. Multilayer feedforward networks are universal approximators
  3. Deep Learning
  4. Computer Vision - Algorithms and Applications
  5. The Elements of Statistical Learning: Data Mining, Inference, and Prediction
  6. Image denoising: Can plain neural networks compete with BM3D?
  7. Image Super-Resolution Using Deep Convolutional Networks
  8. Learning with a Wasserstein Loss (Neural Information Processing Systems)
  9. Neural networks in geophysical applications
  10. A Perspective on Deep Imaging (IEEE Access)

Their papers