Anna Horváth

Computer Vision and Pattern Recognition · 2017

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

Subfields

Whom Anna Horváth trusts overall

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

  1. Shaoqing Ren
  2. Kaiming He

Who trusts Anna Horváth overall

  1. Octavio Loyola-González

Papers from Anna Horváth's perspective

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

  1. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  2. Caffe: Convolutional Architecture for Fast Feature Embedding
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Gradient-based learning applied to document recognition
  6. Going deeper with convolutions
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers