Feng Zheng

Artificial Intelligence · with Wang · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Feng Zheng trusts

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

  1. Matej Kristan (in Artificial Intelligence)
  2. Vitjan Zavrtanik (in Artificial Intelligence)
  3. Danijel Skocaj (in Artificial Intelligence)

Papers from Feng Zheng's perspective

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

  1. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  2. Representation Learning with Contrastive Predictive Coding
  3. Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
  4. Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders (VISIGRAPP)
  5. Reconstruction by inpainting for visual anomaly detection (Pattern Recognition)
  6. DRÆM – A discriminatively trained reconstruction embedding for surface anomaly detection (IEEE International Conference on Computer Vision)
  7. SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation (European Conference on Computer Vision)
  8. Mixed supervision for surface-defect detection: from weakly to fully supervised learning (Computers in industry (Print))
  9. Manufacture by selective laser melting and mechanical behavior of commercially pure titanium
  10. Visual-Based Defect Detection and Classification Approaches for Industrial Applications—A SURVEY (Italian National Conference on Sensors)

Their papers