John M. Franchak

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom John M. Franchak trusts

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

  1. James M. Rehg (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Rob Fergus (in Computer Vision and Pattern Recognition)
  4. Pietro Perona (in Computer Vision and Pattern Recognition)
  5. Peter Meer (in Computer Vision and Pattern Recognition)
  6. Dorin Comaniciu (in Computer Vision and Pattern Recognition)
  7. Michael J. Jones (in Computer Vision and Pattern Recognition)

Papers from John M. Franchak's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Object class recognition by unsupervised scale-invariant learning
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. Detecting activities of daily living in first-person camera views
  6. Going deeper with convolutions
  7. Discovering important people and objects for egocentric video summarization
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Mean Shift: A Robust Approach Toward Feature Space Analysis
  10. ImageNet: A large-scale hierarchical image database

Their papers