Rahul Raguram

Computer Vision and Pattern Recognition · 2008–2013

A researcher in the Science corpus: 4 papers; trusts 196 researchers and is trusted by 24 researchers here, as inferred from the citation graph.

Subfields

Whom Rahul Raguram trusts overall

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

  1. Ondřej Chum
  2. Jiri Matas
  3. David Nistér
  4. Thomas Hofmann
  5. Aude Oliva
  6. Andrew Zisserman
  7. James Hays
  8. Antonio Torralba
  9. David G. Lowe
  10. Ian Simon

Who trusts Rahul Raguram overall

  1. Daniel Barath
  2. Xinlei Chen
  3. Jiayi Ma
  4. Tamara L. Berg
  5. Elad Mezuman
  6. Jiri Matas
  7. Abhinav Kumar Gupta
  8. Boon-Siew Seah
  9. Yunchao Gong
  10. Qian-Yi Zhou

Papers from Rahul Raguram's perspective

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

Their papers