David C. Hogg

Computer Vision and Pattern Recognition · 1995–2017

A researcher in the Science corpus: 7 papers; trusts 39 researchers and is trusted by 648 researchers here, as inferred from the citation graph.

Subfields

Whom David C. Hogg trusts overall

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

  1. Yuri Boykov
  2. David E. Rumelhart
  3. Lawrence R. Rabiner
  4. Ismail Haritaoglu
  5. Marina Sokolova
  6. Neil Johnson
  7. David Zipser
  8. Ivan Laptev
  9. Hema Swetha Koppula

Who trusts David C. Hogg overall

  1. Weiming Hu
  2. Feiping Nie
  3. Dima Damen
  4. Sarvesh Vishwakarma
  5. Louis Kratz
  6. Nam H. Nguyen
  7. Dimitrios Makris
  8. Chris Stauffer
  9. Okan Arikan
  10. Xiaohua Zhai

Papers from David C. Hogg's perspective

Ordered by how strongly the researchers David C. Hogg 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. LIBSVM: A library for support vector machines
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers