93 citations
- University of MacauMO8 papers
- Shandong UniversityCN3 papers
- Shanghai Jiao Tong UniversityCN3 papers
- University of CoimbraPT3 papers
- Uppsala UniversitySE3 papers
- Guangdong University of TechnologyCN2 papers
- Hunan UniversityCN2 papers
- Institute of Materials for Electronics and MagnetismIT2 papers
- Italian Institute of TechnologyIT2 papers
- Korea UniversityKR2 papers
- Lawrence Berkeley National LaboratoryUS2 papers
- Macau University of Science and TechnologyMO2 papers
9 papers · 1 filter
On the Impact of Phase Errors in Phase-Dependent Amplitudes of Near-Field RISs
Ke Wang, Chan-Tong Lam, Benjamin K. Ng +1
This paper investigates mutual coupling between phase-dependent amplitudes (PDAs) and designed phase shifts within pixels of near-field (NF) reconfigurable intelligent surfaces (RI…
Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation
Qiangguo Jin, Hui Cui, Junbo Wang +7
Semi-supervised learning (SSL) has attracted considerable attention in medical image processing. The latest SSL methods use a combination of consistency regularization and pseudo-l…
Taylor$\unicode{x2013}$Aris dispersion of active particles in oscillatory channel flow
Bohan Wang, Weiquan Jiang, Li Zeng +2
Mass dispersion in oscillatory flows is intimately linked to various environmental and biological processes, offering a distinct contrast to dispersion in steady flows due to the p…
UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries
Yijie Zhu, Lingsen Zhang, Zitong Yu +3
Emotional understanding and generation are often treated as separate tasks, yet they are inherently complementary and can mutually enhance each other. In this paper, we propose the…
Paired Image Generation with Diffusion-Guided Diffusion Models
Haoxuan Zhang, Wenju Cui, Yuzhu Cao +4
The segmentation of mass lesions in digital breast tomosynthesis (DBT) images is very significant for the early screening of breast cancer. However, the high-density breast tissue…
Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection
Hanzhe Liang, Jie Zhang, Tao Dai +3
Reconstruction-based methods have demonstrated very promising results for 3D anomaly detection. However, these methods face great challenges in handling high-precision point clouds…