Rahul Garg

Computer Vision and Pattern Recognition · with Seitz · 2011

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Rahul Garg trusts overall

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

  1. S. M. Seitz
  2. Pedro F. Felzenszwalb
  3. Deva Ramanan
  4. Noah Snavely
  5. Andrew C. Gallagher
  6. Brian Fulkerson
  7. Richard Szeliski
  8. Dan Huttenlocher
  9. Andrew Zisserman
  10. Andrea Vedaldi

Who trusts Rahul Garg overall

  1. Niki Martinel
  2. Seong Joon Oh
  3. Christian Micheloni

Papers from Rahul Garg's perspective

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

Their papers