B. Greg Mitchell

Computer Vision and Pattern Recognition · 2000–2019

A researcher in the Science corpus: 9 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom B. Greg Mitchell trusts overall

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

  1. R. Reynolds
  2. Chih-Jen Lin
  3. S. Menden‐Deuer

Who trusts B. Greg Mitchell overall

  1. D. Siegel
  2. Stephane Maritorena
  3. Alan R Peterson

Papers from B. Greg Mitchell's perspective

Ordered by how strongly the researchers B. Greg Mitchell 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. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  4. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
  5. Unbiased look at dataset bias
  6. Gradient-based learning applied to document recognition
  7. LIBSVM: A library for support vector machines
  8. ImageNet: A large-scale hierarchical image database
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers