Barbara Grünwald

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Barbara Grünwald trusts overall

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

  1. Kaiming He

Papers from Barbara Grünwald's perspective

Ordered by how strongly the researchers Barbara Grünwald 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. Attention is All you Need (Neural Information Processing Systems)
  3. Mask R-CNN
  4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  5. ImageNet classification with deep convolutional neural networks
  6. A Simple Framework for Contrastive Learning of Visual Representations (International Conference on Machine Learning)
  7. Fast R-CNN
  8. Momentum Contrast for Unsupervised Visual Representation Learning (Computer Vision and Pattern Recognition)
  9. Gradient-based learning applied to document recognition
  10. Going deeper with convolutions

Their papers