Viraj Prabhu

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 4 papers; trusts 320 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Viraj Prabhu trusts overall

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

  1. Karen Simonyan
  2. Geoffrey E. Hinton
  3. Yoshua Bengio
  4. Alex Krizhevsky
  5. Kaiming He
  6. Andrew Zisserman
  7. Jiasen Lu
  8. Ilya Sutskever
  9. Diederik P. Kingma
  10. Yann LeCun

Who trusts Viraj Prabhu overall

  1. Drew A. Hudson
  2. Peter Hase
  3. Vivian Lai

Papers from Viraj Prabhu's perspective

Ordered by how strongly the researchers Viraj Prabhu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  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