Ben Benfold

Computer Vision and Pattern Recognition · 2009–2011

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Ben Benfold trusts overall

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

  1. Navneet Dalal
  2. Chang Huang
  3. Songhwai Oh
  4. Bill Triggs
  5. Takeo Kanade
  6. Rainer Stiefelhagen
  7. Bo Wu
  8. Stuart J. Russell
  9. Bastian Leibe
  10. Ramkant Nevatia

Who trusts Ben Benfold overall

  1. Afshin Dehghan
  2. Amir Zamir
  3. Wei-Chiu Ma
  4. Visesh Chari
  5. Julian F. P. Kooij
  6. Seong Joon Oh
  7. L. Leal-Taix'e
  8. Irtiza Hasan
  9. Guang Shu
  10. Anton Milan

Papers from Ben Benfold's perspective

Ordered by how strongly the researchers Ben Benfold 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. ImageNet classification with deep convolutional neural networks
  3. Histograms of oriented gradients for human detection
  4. ImageNet: A large-scale hierarchical image database
  5. Distinctive Image Features from Scale-Invariant Keypoints
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Gradient-based learning applied to document recognition
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers