Karel Lenc

Computer Vision and Pattern Recognition · 2014–2025

A researcher in the Science corpus: 8 papers; trusts 925 researchers and is trusted by 6,436 researchers here, as inferred from the citation graph.

Subfields

Whom Karel Lenc trusts overall

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

  1. Andrea Vedaldi
  2. David G. Lowe
  3. Kaiming He
  4. Karen Simonyan
  5. Alex Krizhevsky
  6. Ross B. Girshick
  7. Geoffrey E. Hinton
  8. Andrew Zisserman
  9. Yoshua Bengio
  10. Matthew D. Zeiler

Who trusts Karel Lenc overall

  1. Andrea Vedaldi
  2. Andrew Zisserman
  3. Joon Son Chung
  4. Kai Zhang
  5. Kristen Grauman
  6. Hakan Bilen
  7. Kaiming He
  8. Wanli Ouyang
  9. Chunhua Shen
  10. Dinesh Jayaraman

Papers from Karel Lenc's perspective

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

Their papers