Xavier Lagorce

Computer Vision and Pattern Recognition · 2014–2018

A researcher in the Science corpus: 3 papers; trusts 64 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

Whom Xavier Lagorce trusts overall

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

  1. Christoph Posch
  2. Kwabena A. Boahen
  3. Herbert Jaeger
  4. David G. Lowe
  5. Yann LeCun
  6. T. Serrano‐Gotarredona
  7. Barbara Olshausen
  8. Thomas Serre
  9. Alex Krizhevsky
  10. Timothée Masquelier

Who trusts Xavier Lagorce overall

  1. Henri Rebecq
  2. Michael Pfeiffer
  3. Alex Zihao Zhu
  4. Daniel Gehrig
  5. Guillermo Gallego
  6. Etienne Perot
  7. Davide Scaramuzza
  8. Thomas Pfeil
  9. René Ranftl
  10. Liangzhe Yuan

Papers from Xavier Lagorce's perspective

Ordered by how strongly the researchers Xavier Lagorce 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Learning Multiple Layers of Features from Tiny Images
  7. Long Short-Term Memory
  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