Richard D. Green

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Richard D. Green trusts overall

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

  1. John F. Canny
  2. David R. Martin
  3. Cosmin Grigorescu
  4. Charless C. Fowlkes

Papers from Richard D. Green's perspective

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

  1. A Computational Approach to Edge Detection
  2. A database of human segmented natural images and its application to evaluating segmentation algorithms and measuring ecological statistics
  3. A Combined Corner and Edge Detector
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Submitted to Ieee Transactions on Pattern Analysis and Machine Intelligence Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues
  6. Supervised Learning of Edges and Object Boundaries
  7. Gradient-based learning applied to document recognition
  8. ImageNet classification with deep convolutional neural networks
  9. TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context
  10. ImageNet: A large-scale hierarchical image database

Their papers