J. Laviola

Computer Vision and Pattern Recognition · 2000–2013

A researcher in the Science corpus: 9 papers; trusts 257 researchers and is trusted by 30 researchers here, as inferred from the citation graph.

Subfields

Whom J. Laviola trusts overall

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

  1. John D. Lafferty
  2. Pranav Mistry
  3. Yale Song
  4. P. Zarchan
  5. Cem Keskin
  6. T. Scott Saponas
  7. Doug A. Bowman
  8. Desney S. Tan
  9. David Kim
  10. Andrew McCallum

Who trusts J. Laviola overall

  1. Angelo Maria Sabatini
  2. Yee-Jin Cheon
  3. Jong-Hwan Kim
  4. Fei Han
  5. Ferran Argelaguet
  6. A. Hamad
  7. Lisa Rebenitsch
  8. Ajoy S. Fernandes
  9. Anthony Scavarelli
  10. Mark Wilfried Mueller

Papers from J. Laviola's perspective

Ordered by how strongly the researchers J. Laviola 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