John V. Guttag

Computer Vision and Pattern Recognition · IEEE Transactions on Medical Imaging · 2004–2023

A researcher in the Science corpus: 20 papers; trusts 731 researchers and is trusted by 46 researchers here, as inferred from the citation graph.

Subfields

Whom John V. Guttag trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Yann LeCun
  5. John Ashburner
  6. Yoshua Bengio
  7. Kaiming He
  8. Karen Simonyan
  9. Jia Deng
  10. Jimmy Ba

Who trusts John V. Guttag overall

  1. Jenna Wiens
  2. Ryan Shaun Joazeiro de Baker
  3. Adrian V. Dalca
  4. Guha Balakrishnan
  5. Umur Aybars Ciftci
  6. Tony C. W. Mok
  7. Sang Il Lee
  8. Xiaobai Li
  9. Amy Zhao
  10. Daniel J. McDuff

Papers from John V. Guttag's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers