Emmanuel Maggiori

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Emmanuel Maggiori trusts overall

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

  1. Geoffrey E. Hinton
  2. Evan Shelhamer
  3. Volodymyr Mnih
  4. Wenzhi Zhao
  5. Gustau Camps-Valls
  6. Jonathan Long
  7. Mathieu Fauvel
  8. Trevor Darrell
  9. Alex Krizhevsky
  10. Yann LeCun

Who trusts Emmanuel Maggiori overall

  1. Siwei Yu
  2. Shunping Ji
  3. Charlotte Pelletier
  4. Onur Tasar
  5. Xin-Yi Tong
  6. Sylvain Lobry
  7. Junshi Xia
  8. Alexander V. Buslaev
  9. Jian Kang
  10. Benjamin Bischke

Papers from Emmanuel Maggiori's perspective

Ordered by how strongly the researchers Emmanuel Maggiori 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Long Short-Term Memory
  6. Attention is All you Need (Neural Information Processing Systems)
  7. ImageNet: A large-scale hierarchical image database
  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