Brian Holt

Computer Vision and Pattern Recognition · 2011

A researcher in the Science corpus: 2 papers; trusts 153 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Brian Holt trusts overall

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

  1. Pedro F. Felzenszwalb
  2. Deva Ramanan
  3. Lubomir D. Bourdev
  4. Navneet Dalal
  5. Vittorio Ferrari
  6. Niko Speybroeck
  7. Andrew Zisserman
  8. Jitendra Malik
  9. Krystian Mikolajczyk
  10. Geoffrey E. Hinton

Who trusts Brian Holt overall

  1. Matthias Dantone
  2. Fei Han
  3. Juergen Gall
  4. Feng Jiang
  5. Brian Reily
  6. Necati Cihan Camgöz

Papers from Brian Holt's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers