Ulrich Bauer

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Ulrich Bauer trusts overall

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

  1. Christopher K. I. Williams
  2. W. Crawley‐Boevey
  3. Gunnar E. Carlsson
  4. Afra Zomorodian
  5. David Cohen-Steiner
  6. Herbert Edelsbrunner
  7. M. Joellenbeck
  8. Vin de Silva
  9. Chih-Jen Lin
  10. Peter Bubenik

Who trusts Ulrich Bauer overall

  1. Primoz Skraba

Papers from Ulrich Bauer's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. LIBSVM: A library for support vector machines
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Computing Persistent Homology (SCG '04)
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Stability of Persistence Diagrams (Discrete & Computational Geometry)
  7. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Learning Multiple Layers of Features from Tiny Images

Their papers