David Burth Kurka

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 49 researchers and is trusted by 20 researchers here, as inferred from the citation graph.

Subfields

Whom David Burth Kurka trusts overall

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

  1. Alex Krizhevsky
  2. Johannes Ballé
  3. Diederik P. Kingma
  4. Kaiming He
  5. Yoshua Bengio
  6. David C. Minnen
  7. Jimmy Ba
  8. Geoffrey E. Hinton
  9. Jia Deng
  10. Tim O'Shea

Who trusts David Burth Kurka overall

  1. Zhijin Qin
  2. Zhenzi Weng
  3. Jia-lin Xu
  4. Deniz Gündüz
  5. Jincheng Dai
  6. Huiqiang Xie
  7. Mingzhe Chen
  8. Bo Ai
  9. Sixian Wang
  10. Jiawei Shao

Papers from David Burth Kurka's perspective

Ordered by how strongly the researchers David Burth Kurka 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Learning Multiple Layers of Features from Tiny Images
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers