Dilip K. Prasad

Computer Vision and Pattern Recognition · 2014–2016

A researcher in the Science corpus: 2 papers; trusts 88 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Dilip K. Prasad trusts overall

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

  1. Radford M. Neal
  2. Lawrence R. Rabiner
  3. Zdenek Kalal
  4. Geoffrey E. Hinton
  5. B. T. H. Romeny
  6. Anurag Mittal
  7. Yaser Sheikh
  8. Nir Friedman
  9. David Harwood
  10. Alex Krizhevsky

Who trusts Dilip K. Prasad overall

  1. Derya Akkaynak
  2. Yang Wang

Papers from Dilip K. Prasad's perspective

Ordered by how strongly the researchers Dilip K. Prasad trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers