Todd M. Bacastow

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Todd M. Bacastow trusts overall

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

  1. Geoff Boeing
  2. Adam Van Etten
  3. Joseph Redmon

Who trusts Todd M. Bacastow overall

  1. Bradley Denby

Papers from Todd M. Bacastow's perspective

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

  1. ImageNet Large Scale Visual Recognition Challenge
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. YOLO9000: Better, Faster, Stronger
  7. Gradient-based learning applied to document recognition
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet: A large-scale hierarchical image database

Their papers