Jana Kosecka

Computer Vision and Pattern Recognition · 2002–2019

A researcher in the Science corpus: 9 papers; trusts 965 researchers and is trusted by 4,170 researchers here, as inferred from the citation graph.

Subfields

Whom Jana Kosecka trusts overall

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

  1. Andrew Zisserman
  2. David G. Lowe
  3. Ross B. Girshick
  4. Kaiming He
  5. Geoffrey E. Hinton
  6. Alex Krizhevsky
  7. Karen Simonyan
  8. Krystian Mikolajczyk
  9. Cordelia Schmid
  10. Yoshua Bengio

Who trusts Jana Kosecka overall

  1. Derek Hoiem
  2. Alexei A. Efros
  3. James Hays
  4. Torsten Sattler
  5. Martial Hebert
  6. Jianxiong Xiao
  7. David C. Lee
  8. Jean-Philippe Tardif
  9. Srikumar Ramalingam
  10. Abhinav Kumar Gupta

Papers from Jana Kosecka's perspective

Ordered by how strongly the researchers Jana Kosecka 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. Gradient-based learning applied to document recognition
  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. Going deeper with convolutions

Their papers