Coleman Broaddus

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Coleman Broaddus trusts overall

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

  1. Olaf Ronneberger

Who trusts Coleman Broaddus overall

  1. Florian Jug

Papers from Coleman Broaddus's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Gradient-based learning applied to document recognition
  3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  4. ImageNet classification with deep convolutional neural networks
  5. Mask R-CNN
  6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  7. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  8. Deep Learning
  9. SSD: Single Shot MultiBox Detector
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers