Thomas Sikora

Computer Vision and Pattern Recognition · 2001–2017

A researcher in the Science corpus: 4 papers; trusts 116 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Sikora trusts overall

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

  1. Shih-Fu Chang
  2. M. Bober
  3. Ross B. Girshick
  4. Bangalore S. Manjunath
  5. Kaiming He
  6. Atul Puri
  7. Shaoqing Ren
  8. Pedro F. Felzenszwalb
  9. Piotr Doll'ar
  10. Geoffrey E. Hinton

Who trusts Thomas Sikora overall

  1. Riccardo Satta
  2. Guanghai Liu
  3. Yi Yang
  4. Matevz Kunaver
  5. René F. Kizilcec
  6. Mathias Eitz
  7. Lena Gorelick
  8. Shawn D. Newsam
  9. Brian McFee

Papers from Thomas Sikora's perspective

Ordered by how strongly the researchers Thomas Sikora 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers