Arjun Singh

Computer Vision and Pattern Recognition · 2012–2017

A researcher in the Science corpus: 7 papers; trusts 75 researchers and is trusted by 39 researchers here, as inferred from the citation graph.

Subfields

Whom Arjun Singh trusts overall

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

  1. M. Kazhdan
  2. David G. Lowe
  3. Morgan Quigley
  4. Rosen Diankov
  5. Matthew Bolitho
  6. Corey Goldfeder
  7. Ioan Alexandru Sucan
  8. Michael Garland
  9. Kevin Lai
  10. Siddhartha S. Srinivasa

Who trusts Arjun Singh overall

  1. Berk Çalli
  2. Michael Firman
  3. Pieter Abbeel
  4. Marcus Gualtieri
  5. Andreas ten Pas
  6. Aaron Walsman
  7. Ali Borji
  8. Debidatta Dwibedi
  9. Chaitanya Mitash
  10. Ankur Handa

Papers from Arjun Singh's perspective

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

Their papers