Jean-Pierre Briot

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 151 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Jean-Pierre Briot trusts overall

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

  1. Geoffrey E. Hinton
  2. Yoshua Bengio
  3. Yann LeCun
  4. Kaiming He
  5. Alex Krizhevsky
  6. Diederik P. Kingma
  7. Alex Graves
  8. J. Urgen Schmidhuber
  9. Ilya Sutskever
  10. Radford M. Neal

Who trusts Jean-Pierre Briot overall

  1. Sander Dieleman
  2. Yuxi Li
  3. Fabio Massimo Zanzotto
  4. Hao-Wen Dong
  5. Aäron van den Oord
  6. Om Thakkar
  7. Karen Simonyan
  8. Jing Zhang
  9. Nantheera Anantrasirichai
  10. Ian Simon

Papers from Jean-Pierre Briot's perspective

Ordered by how strongly the researchers Jean-Pierre Briot trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Long Short-Term Memory
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. ImageNet: A large-scale hierarchical image database
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers