T. Kauppi

Computer Vision and Pattern Recognition · 2007

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom T. Kauppi trusts overall

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

  1. Jianguo Zhang
  2. P. Jonathon Phillips
  3. Huiqi Li
  4. Mark Everingham
  5. Meindert Niemeijer
  6. Hyeonjoon Moon
  7. Opas Chutatape
  8. Samy Bengio
  9. Andrew Zisserman

Who trusts T. Kauppi overall

  1. Bálint Antal
  2. Mrinal Haloi
  3. Sohini Roychowdhury
  4. Gwenolé Quellec
  5. Jörg Wagner
  6. Jan M. Köhler
  7. Waleed M. Gondal
  8. Lei Zhou
  9. András Hajdu
  10. Samarendra Dandapat

Papers from T. Kauppi's perspective

Ordered by how strongly the researchers T. Kauppi 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. Distinctive Image Features from Scale-Invariant Keypoints
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Learning Multiple Layers of Features from Tiny Images
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers