Charles E. Hutchinson

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Charles E. Hutchinson trusts overall

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

  1. Lin Xiao
  2. James R. Foulds
  3. Xuehan Xiong
  4. Pedro F. Felzenszwalb

Papers from Charles E. Hutchinson's perspective

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

  1. Object Detection with Discriminatively Trained Part Based Models
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Going deeper with convolutions
  8. Learning Multiple Layers of Features from Tiny Images
  9. Long Short-Term Memory
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers