David Gutman

Computer Vision and Pattern Recognition · 2016–2020

A researcher in the Science corpus: 6 papers; trusts 1 researcher and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom David Gutman trusts overall

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

  1. Noel C. F. Codella
  2. Teresa Mendonça
  3. Harald Kittler

Who trusts David Gutman overall

  1. Noel C. F. Codella
  2. Yading Yuan
  3. Jianpeng Zhang
  4. Yarin Gal
  5. Lequan Yu
  6. Md. Zahangir Alom
  7. Fahad Shamshad
  8. He-lu Huang
  9. Lei Bi
  10. M. Chao

Papers from David Gutman's perspective

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

  1. Gradient-based learning applied to document recognition
  2. Fully convolutional networks for semantic segmentation
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. ImageNet classification with deep convolutional neural networks
  5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  6. FaceNet: A unified embedding for face recognition and clustering
  7. DeepFace: Closing the Gap to Human-Level Performance in Face Verification
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. ImageNet: A large-scale hierarchical image database
  10. Learning Multiple Layers of Features from Tiny Images

Their papers