Mark E. Segal

Computer Vision and Pattern Recognition · 2013

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 28 researchers here, as inferred from the citation graph.

Subfields

Whom Mark E. Segal trusts overall

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

  1. Pedro F. Felzenszwalb
  2. Paul A. Viola
  3. Alex Krizhevsky
  4. Navneet Dalal
  5. Ross B. Girshick

Who trusts Mark E. Segal overall

  1. Ross B. Girshick
  2. Anshumali Shrivastava

Papers from Mark E. Segal's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Histograms of oriented gradients for human detection
  3. Object Detection with Discriminatively Trained Part Based Models
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. A discriminatively trained, multiscale, deformable part model
  7. ImageNet: A large-scale hierarchical image database
  8. Distinctive Image Features from Scale-Invariant Keypoints
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers