Elijah Cole

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Elijah Cole trusts overall

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

  1. Sara Beery
  2. Kaiming He

Papers from Elijah Cole's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Microsoft COCO: Common Objects in Context
  3. ImageNet classification with deep convolutional neural networks
  4. Gradient-based learning applied to document recognition
  5. Long Short-Term Memory
  6. Going deeper with convolutions
  7. ImageNet Large Scale Visual Recognition Challenge
  8. The iNaturalist Species Classification and Detection Dataset
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers