Philippe C. Cattin

Computer Vision and Pattern Recognition · 2007–2022

A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Philippe C. Cattin trusts overall

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

  1. Alex Nichol
  2. Prafulla Dhariwal
  3. Jonathan Ho
  4. Diederik P. Kingma
  5. Jiaming Song
  6. Geoffrey E. Hinton

Who trusts Philippe C. Cattin overall

  1. Junde Wu

Papers from Philippe C. Cattin's perspective

Ordered by how strongly the researchers Philippe C. Cattin 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. Attention is All you Need (Neural Information Processing Systems)
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Gradient-based learning applied to document recognition
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Long Short-Term Memory

Their papers