Digvijay Singh

Computer Vision and Pattern Recognition · 2001–2013

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Digvijay Singh trusts overall

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

  1. Lubomir D. Bourdev
  2. Yi Yang
  3. Joseph Tighe
  4. Ming Yang
  5. Rakesh Agrawal
  6. Nan Wang
  7. Basela Hasan

Papers from Digvijay Singh's perspective

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

Their papers