Daniel J. Perrone

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel J. Perrone trusts overall

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

  1. Li Xu
  2. Anat Levin
  3. Laurent Condat
  4. Sunghyun Cho
  5. David M. Strong
  6. Jiaya Jia
  7. Yair Weiss
  8. Frédo Durand
  9. Rob Fergus
  10. William T. Freeman

Who trusts Daniel J. Perrone overall

  1. Orest Kupyn
  2. Yuanbiao Gou
  3. Dongwei Ren
  4. Kai Zhang
  5. Boyun Li
  6. Volodymyr Budzan
  7. Masanori Suganuma

Papers from Daniel J. Perrone's perspective

Ordered by how strongly the researchers Daniel J. Perrone 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. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Long Short-Term Memory
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers