Qingfeng Guan

Computer Vision and Pattern Recognition · 2019–2021

A researcher in the Science corpus: 4 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Qingfeng Guan trusts overall

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

  1. Martin Herold

Papers from Qingfeng Guan's perspective

Ordered by how strongly the researchers Qingfeng Guan 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. Random Forests
  3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
  4. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
  5. Semantic Understanding of Scenes Through the ADE20K Dataset
  6. Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network (IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing)
  7. Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles (IEEE Transactions on Geoscience and Remote Sensing)
  8. Spectral–Spatial Residual Network for Hyperspectral Image Classification: A 3-D Deep Learning Framework (IEEE Transactions on Geoscience and Remote Sensing)
  9. Learning and Transferring Deep Joint Spectral–Spatial Features for Hyperspectral Classification (IEEE Transactions on Geoscience and Remote Sensing)
  10. Advanced Spectral Classifiers for Hyperspectral Images: A review (IEEE Geoscience and Remote Sensing Magazine)

Their papers