Eugénie Hunsicker

Computer Vision and Pattern Recognition · 2002–2017

A researcher in the Science corpus: 4 papers; trusts 12 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Eugénie Hunsicker trusts overall

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

  1. Tamás Hausel
  2. Alex Krizhevsky
  3. Paul A. Kirk
  4. Corinna Cortes
  5. Ariadna Quattoni
  6. Megha Pandey
  7. S. Mancell
  8. Rafe Mazzeo
  9. Juan B. Gil
  10. A. Brandhuber

Who trusts Eugénie Hunsicker overall

  1. Rafe Mazzeo
  2. A. Mazzucato
  3. Victor Nistor
  4. Boris Vertman
  5. Greg Friedman
  6. Andrea Soltoggio

Papers from Eugénie Hunsicker's perspective

Ordered by how strongly the researchers Eugénie Hunsicker trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Learning Multiple Layers of Features from Tiny Images
  2. Going deeper with convolutions
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Gradient-based learning applied to document recognition
  6. ImageNet: A large-scale hierarchical image database
  7. Long Short-Term Memory
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Support-Vector Networks

Their papers