Veronika A. M. Zimmer

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Veronika A. M. Zimmer trusts

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

  1. Karen Simonyan (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)

Papers from Veronika A. M. Zimmer's perspective

Ordered by how strongly the researchers Veronika A. M. Zimmer trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
  4. Conditional Random Fields as Recurrent Neural Networks
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. A Probabilistic U-Net for Segmentation of Ambiguous Images (Neural Information Processing Systems)
  8. Topological Persistence and Simplification (Proceedings 41st Annual Symposium on Foundations of Computer Science)
  9. Deformable M-Reps for 3D Medical Image Segmentation (International Journal of Computer Vision)
  10. Blood vessel segmentation methodologies in retinal images - A survey (Comput. Methods Programs Biomed.)

Their papers