K. Ram Prabhakar

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom K. Ram Prabhakar trusts overall

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

  1. Zhou Wang
  2. Shutao Li
  3. Kede Ma
  4. Kaiming He
  5. A. Bovik
  6. Pedro H. O. Pinheiro
  7. A. Goshtasby
  8. Xudong Kang
  9. Kai Zeng
  10. Hamid R. Sheikh

Who trusts K. Ram Prabhakar overall

  1. Hui Li
  2. Jiayi Ma
  3. Xiaojun Wu
  4. Han Xu
  5. Hao Zhang
  6. Albert Y. Kim
  7. Josef Kittler
  8. Junjun Jiang
  9. Xiaojie Guo
  10. Caren Marzban

Papers from K. Ram Prabhakar's perspective

Ordered by how strongly the researchers K. Ram Prabhakar 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. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers