D. Hu

Computer Vision and Pattern Recognition · with Attenberg · 2014

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom D. Hu trusts overall

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

  1. Benjamin M. Marlin
  2. David M. Blei
  3. Li Fei-Fei
  4. Yehuda Koren
  5. Gediminas Adomavicius
  6. T. Griffiths
  7. Pietro Perona
  8. Michael I. Jordan
  9. Andrew Y. Ng
  10. Alexander Tuzhilin

Papers from D. Hu's perspective

Ordered by how strongly the researchers D. Hu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers