Jakob Bozic

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 73 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jakob Bozic trusts overall

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

  1. Thomas Schlegl
  2. Deepak Pathak
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Liang-Chieh Chen
  6. Olaf Ronneberger
  7. Ian J. Goodfellow
  8. Kaiming He
  9. Diederik P. Kingma
  10. Bolei Zhou

Papers from Jakob Bozic's perspective

Ordered by how strongly the researchers Jakob Bozic 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. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  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