G. Funka-Lea

Computer Vision and Pattern Recognition · 2006–2009

A researcher in the Science corpus: 2 papers; trusts 92 researchers and is trusted by 37 researchers here, as inferred from the citation graph.

Subfields

Whom G. Funka-Lea trusts overall

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

  1. Stanley J. Osher
  2. Andrew Blake
  3. Pedro F. Felzenszwalb
  4. Jianbo Shi
  5. Yin Li
  6. Vladimir Kolmogorov
  7. Andrew Vladislav Goldberg
  8. Philip H. S. Torr
  9. M. Pawan Kumar
  10. Yuri Boykov

Who trusts G. Funka-Lea overall

  1. Olga Veksler
  2. Aleksey Golovinskiy
  3. João Carreira
  4. Ali Kemal Sinop
  5. Junjie Bai
  6. Jierong Cheng
  7. Tae Hoon Kim
  8. Allan Jabri
  9. Ayan Chakrabarti
  10. Thomas A. Funkhouser

Papers from G. Funka-Lea's perspective

Ordered by how strongly the researchers G. Funka-Lea 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 classification with deep convolutional neural networks
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Normalized cuts and image segmentation
  10. Going deeper with convolutions

Their papers