P. Marcus

Computer Vision and Pattern Recognition · with Jiang · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom P. Marcus trusts

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

  1. Trevor Darrell (in Computer Vision and Pattern Recognition)

Papers from P. Marcus's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. Fully convolutional networks for semantic segmentation
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. ImageNet classification with deep convolutional neural networks
  5. Spatial Transformer Networks
  6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  7. Deep Learning
  8. Image-to-Image Translation with Conditional Adversarial Networks
  9. Gradient-based learning applied to document recognition
  10. The mnist database of handwritten digits

Their papers