Timothy Brown

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Timothy Brown trusts overall

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

  1. Lubomir D. Bourdev
  2. Ross B. Girshick
  3. Navneet Dalal
  4. Jitendra Malik
  5. Pedro F. Felzenszwalb

Who trusts Timothy Brown overall

  1. Adam Van Etten

Papers from Timothy Brown's perspective

Ordered by how strongly the researchers Timothy Brown 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. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. Object Detection with Discriminatively Trained Part Based Models
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Going deeper with convolutions
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers