Bianca S. Gerendas

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bianca S. Gerendas trusts overall

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

  1. William R. Swartout
  2. Bruce G. Buchanan
  3. Karen Simonyan
  4. Matthew D. Zeiler
  5. Pranav Rajpurkar

Papers from Bianca S. Gerendas's perspective

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

  1. Gradient-based learning applied to document recognition
  2. ImageNet: A large-scale hierarchical image database
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Visualizing and Understanding Convolutional Networks
  8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  9. Going deeper with convolutions
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers