Gwenn Englebienne

Computer Vision and Pattern Recognition · 2008–2014

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Gwenn Englebienne trusts overall

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

  1. Thorsten Joachims
  2. Joris M. Mooij
  3. Radford M. Neal
  4. Chun-Nam John Yu
  5. Hema Swetha Koppula
  6. Lawrence R. Rabiner
  7. Alan L. Yuille
  8. Geoffrey J. McLachlan
  9. Ioannis Tsochantaridis
  10. Kevin D. Tang

Who trusts Gwenn Englebienne overall

  1. Luiza Mici
  2. Brian Y. Lim
  3. Attila Reiss
  4. Sook-Ling Chua

Papers from Gwenn Englebienne's perspective

Ordered by how strongly the researchers Gwenn Englebienne 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. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Going deeper with convolutions
  10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers