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Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning
Zhe Wang, Hongsheng Li, Qinwei Zhang +2
Magnetic Resonance Fingerprinting (MRF) is a novel technique that simultaneously estimates multiple tissue-related parameters, such as the longitudinal relaxation time T1, the tran…
A Hybrid Complex-valued Neural Network Framework with Applications to Electroencephalogram (EEG)
Hang Du, Rebecca Pillai Riddell, Xiaogang Wang
In this article, we present a new EEG signal classification framework by integrating the complex-valued and real-valued Convolutional Neural Network(CNN) with discrete Fourier tran…
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs
Jinguo Zhu, Xizhou Zhu, Wenhai Wang +4
To build an artificial neural network like the biological intelligence system, recent works have unified numerous tasks into a generalist model, which can process various tasks wit…
BIMS-PU: Bi-Directional and Multi-Scale Point Cloud Upsampling
Yechao Bai, Xiaogang Wang, Marcelo H. Ang +1
The learning and aggregation of multi-scale features are essential in empowering neural networks to capture the fine-grained geometric details in the point cloud upsampling task. M…
A Strategic Approach to Advance Magnet Technology for Next Generation Colliders
G. Ambrosio, K. Amm, M. Anerella +74
Colliders are built on a foundation of superconducting magnet technology that provides strong dipole magnets to maintain the beam orbit and strong focusing magnets to enable the ex…
Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling
Yan Xu, Junyi Lin, Jianping Shi +3
The correct ego-motion estimation basically relies on the understanding of correspondences between adjacent LiDAR scans. However, given the complex scenarios and the low-resolution…