Martin Bendszus

Computer Vision and Pattern Recognition · 2013–2020

A researcher in the Science corpus: 13 papers; trusts 49 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Martin Bendszus trusts overall

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

  1. Kaiming He
  2. Olaf Ronneberger
  3. Diederik P. Kingma
  4. Konstantinos Kamnitsas
  5. Fausto Milletarì
  6. Geoffrey E. Hinton
  7. Alex Krizhevsky
  8. Yoshua Bengio
  9. Evan Shelhamer

Who trusts Martin Bendszus overall

  1. Fabian Isensee

Papers from Martin Bendszus's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  5. Gradient-based learning applied to document recognition
  6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers