Eric K. Gibbons

Computer Vision and Pattern Recognition · 2018

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

Subfields

Whom Eric K. Gibbons trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)

Who trusts Eric K. Gibbons

  1. Arvid Lundervold (in Computer Vision and Pattern Recognition)

Papers from Eric K. Gibbons's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Backpropagation Applied to Handwritten Zip Code Recognition
  6. Image quality assessment: from error visibility to structural similarity
  7. Handwritten Digit Recognition with a Back-Propagation Network
  8. Learning a Deep Convolutional Network for Image Super-Resolution
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Accurate Image Super-Resolution Using Very Deep Convolutional Networks

Their papers