Tristan Braud

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tristan Braud trusts overall

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

  1. David G. Lowe
  2. Paul R. Milgrom
  3. Daniel Scharstein
  4. Greg Hamerly
  5. Yoshua Bengio
  6. Geoffrey E. Hinton
  7. Kaiming He

Papers from Tristan Braud's perspective

Ordered by how strongly the researchers Tristan Braud 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. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Long Short-Term Memory
  7. Going deeper with convolutions
  8. Attention is All you Need (Neural Information Processing Systems)
  9. Distinctive Image Features from Scale-Invariant Keypoints
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers