1 code implementation • 11 Mar 2024 • Zhiyang Lu, Qinghan Chen, Ming Cheng
Scene flow prediction is a crucial underlying task in understanding dynamic scenes as it offers fundamental motion information.
1 code implementation • 7 Oct 2022 • Zhiyang Lu, Ming Cheng
Scene flow represents the motion information of each point in the 3D point clouds.
no code implementations • 21 Oct 2021 • Yanbin He, Zhiyang Lu, Jun Wang, Jun Shi
Convolutional neural networks (CNNs) and their variants have been successfully applied to the electroencephalogram (EEG) based motor imagery (MI) decoding task.
no code implementations • 29 Jun 2021 • Zhiyang Lu, Zheng Li, Jun Wang, Jun Shi, Dinggang Shen
To this end, we propose a novel Two-stage Self-supervised Cycle-consistency Network (TSCNet) for MR slice interpolation, in which a two-stage self-supervised learning (SSL) strategy is developed for unsupervised DL network training.
no code implementations • 12 Oct 2020 • Zhiyang Lu, Jun Li, Zheng Li, Hongjian He, Jun Shi
In this work, we propose to explore a new value of the high-pass filtered phase data generated in susceptibility weighted imaging (SWI), and develop an end-to-end Cross-connected $\Psi$-Net (C$\Psi$-Net) to reconstruct QSM directly from these phase data in SWI without additional pre-processing.