Hannu Tenhunen

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 5 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Hannu Tenhunen trusts overall

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

  1. Ross B. Girshick

Papers from Hannu Tenhunen's perspective

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

  1. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  2. Fast R-CNN
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Gradient-based learning applied to document recognition
  7. Pyramid Scene Parsing Network
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
  10. Long Short-Term Memory

Their papers