Daniele Fornasier

International Symposium on Industrial Electronics · 2021

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

Whom Daniele Fornasier trusts overall

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

  1. Paul Bergmann
  2. Sargur N. Srihari

Papers from Daniele Fornasier's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. Deep Learning
  3. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  4. Adversarially Learned One-Class Classifier for Novelty Detection (2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition)
  5. Anomaly Detection using One-Class Neural Networks
  6. OCGAN: One-Class Novelty Detection Using GANs With Constrained Latent Representations
  7. Latent Space Autoregression for Novelty Detection (Computer Vision and Pattern Recognition)
  8. Learning Deep Features for One-Class Classification (IEEE Transactions on Image Processing)
  9. MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection (Computer Vision and Pattern Recognition)
  10. Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings

Their papers