Thomas Martin Deserno

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 33 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Thomas Martin Deserno trusts overall

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

  1. Li Deng
  2. Geoffrey E. Hinton
  3. Ilya Sutskever
  4. Alex Krizhevsky
  5. John Ashburner
  6. Yoshua Bengio
  7. Aristeidis Sotiras
  8. Mark Holden
  9. Sepp Hochreiter
  10. Kenji Suzuki

Who trusts Thomas Martin Deserno overall

  1. Arvid Lundervold

Papers from Thomas Martin Deserno's perspective

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

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

Their papers