Fan Zhao

Artificial Intelligence · with Chen · 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 Fan Zhao trusts overall

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

  1. Paul Bergmann
  2. Niv Cohen

Papers from Fan Zhao's perspective

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

  1. Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
  2. MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection (Computer Vision and Pattern Recognition)
  3. Cascade R-CNN: Delving Into High Quality Object Detection
  4. GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training (Asian Conference on Computer Vision)
  5. Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders (VISIGRAPP)
  6. f‐AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks (Medical Image Anal.)
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
  9. Sub-Image Anomaly Detection with Deep Pyramid Correspondences (arXiv.org)
  10. Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding (2019 IEEE Intelligent Vehicles Symposium (IV))

Their papers