Dehui Xiang

Computer Vision and Pattern Recognition · 2020

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

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it
• Artificial Intelligence — 13 citations into it
• Model Architectures — 6 citations into it

Whom Dehui Xiang trusts

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

1. François Chollet (in Computer Vision and Pattern Recognition)

Papers from Dehui Xiang's perspective

Ordered by how strongly the researchers Dehui Xiang 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. Xception: Deep Learning with Depthwise Separable Convolutions
3. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
4. Rethinking Atrous Convolution for Semantic Image Segmentation
5. Conditional Generative Adversarial Nets
6. I and J
7. Attention to Scale: Scale-Aware Semantic Image Segmentation
8. Large Kernel Matters — Improve Semantic Segmentation by Global Convolutional Network
9. V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
10. AND T

Their papers

• CPFNet: Context Pyramid Fusion Network for Medical Image Segmentation (2020) — 594 citations