Matthieu Fradet

Computer Vision and Pattern Recognition · 2014

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Matthieu Fradet trusts overall

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

  1. Kaiming He

Papers from Matthieu Fradet's perspective

Ordered by how strongly the researchers Matthieu Fradet 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. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Approximate nearest neighbor queries in fixed dimensions
  6. Attention is All you Need (Neural Information Processing Systems)
  7. Long Short-Term Memory
  8. Graphcut textures: image and video synthesis using graph cuts (ACM Transactions on Graphics)
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers