Thomas Joseph Cashman

Computer Vision and Pattern Recognition · 2000–2021

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Joseph Cashman trusts overall

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

  1. C. Bregler
  2. Aaron Hertzmann
  3. Volker Blanz
  4. Mukta Prasad

Who trusts Thomas Joseph Cashman overall

  1. Sara Alexandra Gomes Vicente
  2. Angjoo Kanazawa
  3. João Carreira
  4. Shubham Tulsiani
  5. Lourdes de Agapito
  6. Jerry Liu
  7. Silvia Zuffi
  8. David W. Jacobs
  9. Philipp Henzler
  10. Jitendra Malik

Papers from Thomas Joseph Cashman's perspective

Ordered by how strongly the researchers Thomas Joseph Cashman 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. ImageNet classification with deep convolutional neural networks
  4. Et al
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)

Their papers