Benjamin Planche

Computer Vision and Pattern Recognition · 2017–2022

A researcher in the Science corpus: 2 papers; trusts 157 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Benjamin Planche trusts overall

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

  1. Yann LeCun
  2. Geoffrey E. Hinton
  3. Jia Deng
  4. Ross B. Girshick
  5. Kaiming He
  6. Alex Krizhevsky
  7. Yoshua Bengio
  8. Diederik P. Kingma
  9. David G. Lowe
  10. Ilya Sutskever

Papers from Benjamin Planche's perspective

Ordered by how strongly the researchers Benjamin Planche 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. ImageNet: A large-scale hierarchical image database
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers