Yves van Gennip

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Yves van Gennip trusts overall

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

  1. Andrea Braides
  2. Guy Gilboa
  3. Stanley J. Osher
  4. Ulrike von Luxburg
  5. Matthias Hein
  6. Mikhail Belkin
  7. Jianbo Shi
  8. Jean-Yves Audibert
  9. A. Buades
  10. Giovanni S. Alberti

Papers from Yves van Gennip's perspective

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

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

Their papers