Zhangnan Wu

Artificial Intelligence · 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 Zhangnan Wu trusts

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

  1. Yedid Hoshen (in Artificial Intelligence)
  2. Niv Cohen (in Artificial Intelligence)

Papers from Zhangnan Wu's perspective

Ordered by how strongly the researchers Zhangnan Wu 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. GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training (Asian Conference on Computer Vision)
  4. Cascade R-CNN: Delving Into High Quality Object Detection
  5. f‐AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks (Medical Image Anal.)
  6. Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders (VISIGRAPP)
  7. Sub-Image Anomaly Detection with Deep Pyramid Correspondences (arXiv.org)
  8. Stacked Convolutional Auto-Encoders for Hierarchical Feature Extraction
  9. Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding (2019 IEEE Intelligent Vehicles Symposium (IV))
  10. Segmentation-based deep-learning approach for surface-defect detection (Journal of Intelligent Manufacturing)

Their papers