Daniel Erickson

Computer Vision and Pattern Recognition · 2020

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

Subfields

Whom Daniel Erickson trusts overall

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

  1. Charles Ruizhongtai Qi

Papers from Daniel Erickson's perspective

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

  1. Image quality assessment: from error visibility to structural similarity
  2. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
  3. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space (Neural Information Processing Systems)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Deep Stereo: Learning to Predict New Views from the World's Imagery
  6. Unstructured lumigraph rendering (International Conference on Computer Graphics and Interactive Techniques)
  7. ImageNet classification with deep convolutional neural networks
  8. Learning-based view synthesis for light field cameras
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Soft 3D reconstruction for view synthesis (ACM Transactions on Graphics)

Their papers