Jan Kautz

Computer Vision and Pattern Recognition · with Hasinoff · 2011

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Jan Kautz trusts overall

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

  1. Richard Szeliski
  2. Kaiming He

Who trusts Jan Kautz overall

  1. Wei-Sheng Lai
  2. Hossein Talebi Esfandarani

Papers from Jan Kautz's perspective

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

  1. Two-scale tone management for photographic look (ACM Transactions on Graphics)
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet classification with deep convolutional neural networks
  4. Guided Image Filtering
  5. Locally adapted hierarchical basis preconditioning
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. ImageNet: A large-scale hierarchical image database
  9. Learning Multiple Layers of Features from Tiny Images
  10. Long Short-Term Memory

Their papers