Neil Hallonquist

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 93 researchers here, as inferred from the citation graph.

Subfields

Whom Neil Hallonquist trusts overall

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

  1. Antonio Torralba
  2. Ross B. Girshick
  3. David G. Lowe
  4. Pedro F. Felzenszwalb
  5. Alex Krizhevsky
  6. William T. Freeman
  7. Jitendra Malik
  8. Trevor Darrell
  9. Geoffrey E. Hinton
  10. Rob Fergus

Who trusts Neil Hallonquist overall

  1. Yuke Zhu
  2. Licheng Yu
  3. Kushal Kafle
  4. Xiaoyu Lin
  5. Devi Parikh
  6. Mateusz Malinowski
  7. Qi Wu
  8. Albert Gatt

Papers from Neil Hallonquist's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Object Detection with Discriminatively Trained Part Based Models
  5. A Fast Learning Algorithm for Deep Belief Nets
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers