Avideh Zakhor

Computer Vision and Pattern Recognition · 2002–2015

A researcher in the Science corpus: 3 papers; trusts 98 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Avideh Zakhor trusts overall

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

  1. David G. Lowe
  2. Andrea Censi
  3. Lubor Ladicky
  4. Andreas Geiger
  5. Ross B. Girshick
  6. Mark Joseph Cummins
  7. Geoffrey E. Hinton

Who trusts Avideh Zakhor overall

  1. Fereshteh Sadeghi

Papers from Avideh Zakhor's perspective

Ordered by how strongly the researchers Avideh Zakhor 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. Gradient-based learning applied to document recognition
  5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  6. ImageNet: A large-scale hierarchical image database
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Long Short-Term Memory
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Going deeper with convolutions

Their papers