David Abram

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom David Abram trusts overall

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

  1. Gary R. Bradski
  2. Krystian Mikolajczyk
  3. Dorin Comaniciu
  4. Edward Rosten
  5. Herbert Bay

Papers from David Abram's perspective

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

  1. A Combined Corner and Edge Detector
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Good features to track
  6. Scale & Affine Invariant Interest Point Detectors
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Mean Shift: A Robust Approach Toward Feature Space Analysis
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. Gradient-based learning applied to document recognition

Their papers