Amit K. Agrawal

Computer Vision and Pattern Recognition · 2005–2007

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Amit K. Agrawal trusts overall

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

  1. Gilles Aubert
  2. Raanan Fattal
  3. Elmar Eisemann
  4. Athinodoros S. Georghiades
  5. Peter N. Belhumeur
  6. Patrick Pérez
  7. Graham David Finlayson
  8. Hansen F. Chen
  9. Ren Ng
  10. Shree K. Nayar

Who trusts Amit K. Agrawal overall

  1. Silvano Galliani
  2. Kin Gwn Lore
  3. Tom Mertens
  4. Konrad Schindler
  5. Yu-Wing Tai
  6. Richard Szeliski
  7. Lu Yuan
  8. Jian-Feng Cai
  9. Adedotun Akintayo
  10. Jan Kautz

Papers from Amit K. Agrawal's perspective

Ordered by how strongly the researchers Amit K. Agrawal 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. Distinctive Image Features from Scale-Invariant Keypoints
  3. ImageNet classification with deep convolutional neural networks
  4. Numerical Recipes in C: The Art of Scientific Computing
  5. From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
  6. Poisson image editing
  7. Gradient domain high dynamic range compression (International Conference on Computer Graphics and Interactive Techniques)
  8. Representing moving images with layers
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Gradient-based learning applied to document recognition

Their papers