Gerald Schaefer

Computer Vision and Pattern Recognition · 2003–2020

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Gerald Schaefer trusts overall

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

  1. Ludmila I. Kuncheva
  2. Robert P. W. Duin
  3. Yanmin Sun
  4. Simon Perreault

Who trusts Gerald Schaefer overall

  1. Xueyang Fu
  2. He Zhang
  3. Weiqi Luo
  4. Yu Luo
  5. Dongdong Fu
  6. Ye Li
  7. Jiansheng Chen
  8. Rui Song
  9. Wei Wei
  10. Jie Xiao

Papers from Gerald Schaefer's perspective

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

  1. Decision templates for multiple classifier fusion: an experimental comparison (Pattern Recognition)
  2. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  3. ImageNet Large Scale Visual Recognition Challenge
  4. Microsoft COCO: Common Objects in Context
  5. Fully convolutional networks for semantic segmentation
  6. Densely Connected Convolutional Networks
  7. Mask R-CNN
  8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  9. Combining Pattern Classifiers: Methods and Algorithms
  10. Digital Image Processing: PIKS Inside

Their papers