Melanie Geiger

Computer Vision and Pattern Recognition · 2018

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 Melanie Geiger trusts

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

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

Papers from Melanie Geiger's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Going deeper with convolutions
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  7. Playing Atari with Deep Reinforcement Learning (arXiv.org)
  8. Proximal Policy Optimization Algorithms (arXiv.org)
  9. Explaining and Harnessing Adversarial Examples
  10. Deep Learning

Their papers