Qinghui Liu

Multi-view Self-Constructing Graph Convolutional Networks with Adaptive Class Weighting Loss for Semantic Segmentation

Michael Kampffmeyer, Robert Jenssen, Arnt-Borre Salberg, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

The 1st Agriculture-Vision Challenge: Methods and Results

Yin Wang, Yunchao Wei, Robert Jenssen, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Self-Constructing Graph Convolutional Networks for Semantic Labeling

Michael C. Kampffmeyer, R. Jenssen, A. Salberg, 2020, IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium.

Dense Dilated Convolutions’ Merging Network for Land Cover Classification

Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, 2020, IEEE Transactions on Geoscience and Remote Sensing.

SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation

Michael C. Kampffmeyer, R. Jenssen, A. Salberg, 2020, ArXiv.

Deep learning applied to automatic polyp detection in colonoscopy images : master thesis in System Engineering with Embedded Systems

Qinghui Liu, Qinghui Liu, 2017 .

Self-constructing graph neural networks to model long-range pixel dependencies for semantic segmentation of remote sensing images

Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, 2021 .

Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images

Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, 2019, 2019 Joint Urban Remote Sensing Event (JURSE).

Voxels Intersecting Along Orthogonal Levels Attention U-Net for Intracerebral Haemorrhage Segmentation in Head CT

A. Bjørnerud, B. MacIntosh, K. Emblem, 2022, 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

Voxels Intersecting along Orthogonal Levels Attention U-Net (viola-Unet) to Segment Intracerebral Haemorrhage Using Computed Tomography Head Scans

A. Bjørnerud, B. MacIntosh, K. Emblem, 2022, ArXiv.