Ninghang Hu

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ninghang Hu trusts overall

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

  1. Thorsten Joachims
  2. Joris M. Mooij
  3. Chun-Nam John Yu
  4. Hema Swetha Koppula
  5. Alan L. Yuille
  6. Geoffrey J. McLachlan
  7. Ioannis Tsochantaridis
  8. Kevin D. Tang
  9. Carsten Rother
  10. Ashutosh Saxena

Who trusts Ninghang Hu overall

  1. Luiza Mici
  2. German Ignacio Parisi

Papers from Ninghang Hu's perspective

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

Their papers