Martin Weinmann

Computer Vision and Pattern Recognition · 2015–2021

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Martin Weinmann trusts overall

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

  1. Leo Breiman
  2. Robert E. Schapire

Who trusts Martin Weinmann overall

  1. Loic Landrieu
  2. Xavier Roynard
  3. Weimin Wang
  4. Weixin Lu
  5. Ying Li
  6. Martin Simonovsky
  7. Jean-Emmanuel Deschaud
  8. Ken Sakurada
  9. Yao Zhou

Papers from Martin Weinmann's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet: A large-scale hierarchical image database
  3. Microsoft COCO: Common Objects in Context
  4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  5. International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
  6. ImageNet classification with deep convolutional neural networks
  7. Gradient-based learning applied to document recognition
  8. Focal Loss for Dense Object Detection
  9. The Cityscapes Dataset for Semantic Urban Scene Understanding
  10. The Caltech-UCSD Birds-200-2011 Dataset

Their papers