René Werner

Computer Vision and Pattern Recognition · 2011–2019

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom René Werner trusts

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

  1. Quoc V. Le (in Computer Vision and Pattern Recognition)
  2. Graham W. Taylor (in Computer Vision and Pattern Recognition)
  3. Mingxing Tan (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Terrance Devries (in Computer Vision and Pattern Recognition)

Papers from René Werner's perspective

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

  1. Rethinking the Inception Architecture for Computer Vision
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Exploring the Limits of Weakly Supervised Pretraining
  5. Gradient-based learning applied to document recognition
  6. Improved Regularization of Convolutional Neural Networks with Cutout
  7. Attention is All you Need (Neural Information Processing Systems)
  8. AutoAugment: Learning Augmentation Policies from Data
  9. EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
  10. Long Short-Term Memory

Their papers