MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images

1 code implementation • 25 Jun 2023 • Hong Wang, Minghao Zhou, Dong Wei, Yuexiang Li, Yefeng Zheng

Sparse-view computed tomography (CT) has been adopted as an important technique for speeding up data acquisition and decreasing radiation dose.

Computed Tomography (CT) Metal Artifact Reduction

Interactive Segmentation as Gaussian Process Classification

1 code implementation • 28 Feb 2023 • Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng

Against this issue, in this paper, we propose to formulate the IS task as a Gaussian process (GP)-based pixel-wise binary classification model on each image.

Binary Classification Classification +4

Interactive Segmentation As Gaussion Process Classification

1 code implementation • CVPR 2023 • Minghao Zhou, Hong Wang, Qian Zhao, Yuexiang Li, Yawen Huang, Deyu Meng, Yefeng Zheng

Against this issue, in this paper, we propose to formulate the IS task as a Gaussian process (GP)-based pixel-wise binary classification model on each image.

Binary Classification Classification +4

Diagnosing Batch Normalization in Class Incremental Learning

no code implementations • 16 Feb 2022 • Minghao Zhou, Quanziang Wang, Jun Shu, Qian Zhao, Deyu Meng

Extensive researches have applied deep neural networks (DNNs) in class incremental learning (Class-IL).

Class Incremental Learning Incremental Learning +1

Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net

no code implementations • CVPR 2019 • Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, WangMeng Zuo, Zongben Xu

In this paper, we propose a model-based deep learning approach for merging an HrMS and LrHS images to generate a high-resolution hyperspectral (HrHS) image.