Jérôme Guzzi

Computer Vision and Pattern Recognition · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Jérôme Guzzi trusts overall

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

  1. J. Urgen Schmidhuber
  2. Dan Claudiu Ciresan
  3. Ken Perlin
  4. Yann LeCun
  5. Radford M. Neal
  6. Alex Krizhevsky
  7. Geoffrey E. Hinton
  8. Ueli Meier
  9. Stéphane Ross
  10. Trevor J. Hastie

Who trusts Jérôme Guzzi overall

  1. Lei Tai
  2. Chaopeng Shen
  3. Sergey Levine
  4. Santhosh K. Ramakrishnan
  5. Faraz Torabi
  6. Ananye Agarwal
  7. Fereshteh Sadeghi

Papers from Jérôme Guzzi's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Gradient-based learning applied to document recognition
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Long Short-Term Memory
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Learning Multiple Layers of Features from Tiny Images
  7. ImageNet: A large-scale hierarchical image database
  8. Attention is All you Need (Neural Information Processing Systems)
  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