Xavier Gibert

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 84 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom Xavier Gibert trusts overall

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

  1. Yann LeCun
  2. Alex Krizhevsky
  3. R. Caruana
  4. Geoffrey E. Hinton
  5. Ross B. Girshick
  6. Navneet Dalal
  7. Evan Shelhamer
  8. David G. Lowe
  9. Ilya Sutskever
  10. Yoshua Bengio

Who trusts Xavier Gibert overall

  1. Poojan Oza
  2. Liangzhi Li
  3. Shahrzad Faghih-Roohi
  4. Olga Fink
  5. Vishal M. Patel
  6. Kaoru Ota
  7. Siamak Hajizadeh
  8. Qin Wang

Papers from Xavier Gibert's perspective

Ordered by how strongly the researchers Xavier Gibert 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. Going deeper with convolutions
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Learning Multiple Layers of Features from Tiny Images

Their papers