351 citations
- Zhejiang UniversityCN124 papers
- Fudan UniversityCN73 papers
- Tsinghua UniversityCN46 papers
- Chinese Academy of SciencesCN45 papers
- University of Chinese Academy of SciencesCN39 papers
- Nanjing UniversityCN31 papers
- Peking UniversityCN26 papers
- University of Science and Technology of ChinaCN26 papers
- Vladimir State UniversityRU26 papers
- St Petersburg UniversityRU25 papers
- Collaborative Innovation Center of Advanced MicrostructuresCN24 papers
- Beihang UniversityCN21 papers
89 papers · 1 filter
The neutron veto of the XENONnT experiment: Results with demineralized water
XENON Collaboration, E. Aprile, J. Aalbers +167
Radiogenic neutrons emitted by detector materials are one of the most challenging backgrounds for the direct search of dark matter in the form of weakly interacting massive particl…
Highly Polarizable Semiconductors and Universal Origin of Ferroelectricity in Materials with a Litharge-Type Structural Unit
Ziye Zhu, Jiaming Hu, Yubo Yuan +3
We discover that a large family of [PbF]- and [BiO]-based mixed-anion materials with a litharge-type structural unit are highly polarizable layered semiconductors o…
Multi-Level Correlation Network For Few-Shot Image Classification
Yunkai Dang, Min Zhang, Zhengyu Chen +4
Few-shot image classification(FSIC) aims to recognize novel classes given few labeled images from base classes. Recent works have achieved promising classification performance, esp…
Experimental electronic phase diagram in a diamond-lattice antiferromagnetic system
Liang-Wen Ji, Wu-Zhang Yang, Yi-Ming Lu +5
We report Ni-doping effect on the magnetic and electronic properties of thiospinel CoNi[CoIr]S (0 1). The parent compound Co[Co$_{0.3}…
GS-ProCams: Gaussian Splatting-based Projector-Camera Systems
Qingyue Deng, Jijiang Li, Haibin Ling +1
We present GS-ProCams, the first Gaussian Splatting-based framework for projector-camera systems (ProCams). GS-ProCams is not only view-agnostic but also significantly enhances the…
Feat2GS: Probing Visual Foundation Models with Gaussian Splatting
Yue Chen, Xingyu Chen, Anpei Chen +2
Given that visual foundation models (VFMs) are trained on extensive datasets but often limited to 2D images, a natural question arises: how well do they understand the 3D world? Wi…