Luka Cehovin

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 4 papers; trusts 25 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Luka Cehovin trusts overall

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

  1. Martin Danelljan
  2. Karen Simonyan
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Andrew Zisserman
  6. João F. Henriques
  7. Alex Krizhevsky
  8. Navneet Dalal
  9. Ross B. Girshick
  10. Yi Wu

Papers from Luka Cehovin's perspective

Ordered by how strongly the researchers Luka Cehovin 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: A large-scale hierarchical image database
  3. ImageNet classification with deep convolutional neural networks
  4. ImageNet Large Scale Visual Recognition Challenge
  5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Long Short-Term Memory
  10. Going deeper with convolutions

Their papers