Julius Kunze

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 4 papers; trusts 125 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Julius Kunze trusts overall

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

  1. Diederik P. Kingma
  2. Alex Graves
  3. Alex Krizhevsky
  4. Geoffrey E. Hinton
  5. Yoshua Bengio
  6. J. Urgen Schmidhuber
  7. Andrew L. Maas
  8. Yann LeCun
  9. Ilya Sutskever
  10. Xavier Glorot

Who trusts Julius Kunze overall

  1. Jorge Armando Mendez Mendez
  2. Eric Eaton
  3. Clemens Rosenbaum
  4. Ignacio Cases
  5. Shifeng Zhang
  6. Seungwon Lee
  7. Anirudh Goyal
  8. Oleksiy Ostapenko
  9. Kanika Madan

Papers from Julius Kunze's perspective

Ordered by how strongly the researchers Julius Kunze 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. Long Short-Term Memory
  5. Gradient-based learning applied to document recognition
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Going deeper with convolutions

Their papers