Motilal Agrawal

Computer Vision and Pattern Recognition · 2006–2008

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 31 researchers here, as inferred from the citation graph.

Subfields

Whom Motilal Agrawal trusts overall

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

  1. David G. Lowe
  2. Andrew J. Davison
  3. David Nistér
  4. Kurt Konolige
  5. Stephen Se
  6. Sebastian Thrun
  7. E. Mouragnon
  8. Jianbo Shi
  9. Paul A. Viola
  10. Edward Rosten

Who trusts Motilal Agrawal overall

  1. Kurt Konolige
  2. Andrew J. Davison
  3. Hauke Strasdat
  4. Mingyang Li
  5. Bernd Kitt
  6. Eagle Jones
  7. Stefan Leutenegger
  8. José M. M. Montiel
  9. Anastasios I. Mourikis
  10. Peter Henry

Papers from Motilal Agrawal's perspective

Ordered by how strongly the researchers Motilal Agrawal trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Distinctive Image Features from Scale-Invariant Keypoints
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet: A large-scale hierarchical image database
  5. Multiple View Geometry in Computer Vision
  6. A Combined Corner and Edge Detector
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Gradient-based learning applied to document recognition
  9. Histograms of oriented gradients for human detection
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers