Xu Huang

Media Technology · with Bruzzone · 2020

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xu Huang trusts overall

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

  1. Lorenzo Bruzzone

Papers from Xu Huang's perspective

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

  1. GENERATIVE ADVERSARIAL NETS
  2. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  3. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
  4. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  5. Conditional Generative Adversarial Nets
  6. BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
  7. ScribbleSup: Scribble-Supervised Convolutional Networks for Semantic Segmentation
  8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  9. Automatic analysis of the difference image for unsupervised change detection (IEEE Transactions on Geoscience and Remote Sensing)
  10. Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and $k$-Means Clustering (IEEE Geoscience and Remote Sensing Letters)

Their papers