Daniel P. Robinson

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Daniel P. Robinson trusts overall

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

  1. René Vidal
  2. Ehsan Elhamifar
  3. Yann LeCun
  4. Guangcan Liu
  5. Joan Bruna
  6. E.J. Candes
  7. Paolo Favaro
  8. Hans-Peter Kriegel
  9. Ulrike von Luxburg
  10. Athinodoros S. Georghiades

Who trusts Daniel P. Robinson overall

  1. Zhiyuan Dang
  2. Bo Yang
  3. Pan Ji
  4. Zhao Kang

Papers from Daniel P. Robinson's perspective

Ordered by how strongly the researchers Daniel P. Robinson trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern 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. Learning Multiple Layers of Features from Tiny Images
  8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  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