Walter J. Curran

Computer Vision and Pattern Recognition · 2001–2019

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Walter J. Curran trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Walter J. Curran's perspective

Ordered by how strongly the researchers Walter J. Curran 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. Going deeper with convolutions
  3. ImageNet classification with deep convolutional neural networks
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Densely Connected Convolutional Networks
  6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  7. Gradient-based learning applied to document recognition
  8. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers