Franck Mamalet

Computer Vision and Pattern Recognition · 2010–2013

A researcher in the Science corpus: 4 papers; trusts 51 researchers and is trusted by 184 researchers here, as inferred from the citation graph.

Subfields

Whom Franck Mamalet trusts overall

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

  1. Yann LeCun
  2. L. Eon Bottou
  3. Christophe Garcia
  4. Yoshua Bengio
  5. Geoffrey E. Hinton
  6. Manolis Delakis
  7. Ivan Laptev
  8. Felix Alexander Gers
  9. J. Urgen Schmidhuber
  10. Alex Krizhevsky

Who trusts Franck Mamalet overall

  1. Weihao Yu
  2. Fahad Lateef
  3. Zhengyang Wang
  4. Max Jaderberg
  5. Yani Ioannou
  6. Kaiming He
  7. Andrea Vedaldi
  8. Guotian Xie
  9. Vivek Veeriah
  10. Chenyang Si

Papers from Franck Mamalet's perspective

Ordered by how strongly the researchers Franck Mamalet trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Gradient-based learning applied to document recognition
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Learning Multiple Layers of Features from Tiny Images

Their papers