Scott Thomas Acton

Computer Vision and Pattern Recognition · 2002–2018

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom Scott Thomas Acton trusts overall

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

  1. John F. Canny
  2. Nikos Paragios
  3. Yongjian Yu
  4. Rachid Deriche

Who trusts Scott Thomas Acton overall

  1. Suresh Kumar Thakur
  2. Gabriele Steidl
  3. Alison Noble
  4. S. Aja‐Fernández
  5. Bing Li
  6. Fabrizio Argenti
  7. Karl Krissian
  8. C. Loizou
  9. Karen A. Panetta
  10. Sos S. Agaian

Papers from Scott Thomas Acton's perspective

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

  1. A Computational Approach to Edge Detection
  2. Snakes: Active contour models
  3. Geodesic Active Contours and Level Sets for the Detection and Tracking of Moving Objects (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  4. Numerical recipes in C
  5. A Threshold Selection Method from Gray-Level Histograms
  6. Speckle reducing anisotropic diffusion (IEEE Transactions on Image Processing)
  7. Image enhancement via adaptive unsharp masking (IEEE Transactions on Image Processing)
  8. Transform-based image enhancement algorithms with performance measure (IEEE Transactions on Image Processing)
  9. Gradient-based learning applied to document recognition
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers