Zobrazeno 1 - 10
of 4 468
pro vyhledávání: '"zhao, Shen"'
Anomaly synthesis is a crucial approach to augment abnormal data for advancing anomaly inspection. Based on the knowledge from the large-scale pre-training, existing text-to-image anomaly synthesis methods predominantly focus on textual information o
Externí odkaz:
http://arxiv.org/abs/2412.06510
Recent advancements utilizing large-scale video data for learning video generation models demonstrate significant potential in understanding complex physical dynamics. It suggests the feasibility of leveraging diverse robot trajectory data to develop
Externí odkaz:
http://arxiv.org/abs/2411.09153
Purpose: To develop a simultaneous multislice (SMS) first-pass perfusion technique that can achieve whole heart coverage with high multi-band factors, while avoiding the issue of slice leakage. Methods: The proposed Simultaneous Multislice Imaging vi
Externí odkaz:
http://arxiv.org/abs/2409.04353
Autor:
Gong, Jiahui, Ding, Jingtao, Meng, Fanjin, Chen, Guilong, Chen, Hong, Zhao, Shen, Lu, Haisheng, Li, Yong
Mobile devices, especially smartphones, can support rich functions and have developed into indispensable tools in daily life. With the rise of generative AI services, smartphones can potentially transform into personalized assistants, anticipating us
Externí odkaz:
http://arxiv.org/abs/2408.09815
Autor:
Huang, Gexin, Wu, Chenfei, Li, Mingjie, Chang, Xiaojun, Chen, Ling, Sun, Ying, Zhao, Shen, Liang, Xiaodan, Lin, Liang
Predicting genetic mutations from whole slide images is indispensable for cancer diagnosis. However, existing work training multiple binary classification models faces two challenges: (a) Training multiple binary classifiers is inefficient and would
Externí odkaz:
http://arxiv.org/abs/2406.02990
Understanding the real world through point cloud video is a crucial aspect of robotics and autonomous driving systems. However, prevailing methods for 4D point cloud recognition have limitations due to sensor resolution, which leads to a lack of deta
Externí odkaz:
http://arxiv.org/abs/2404.11605
Autor:
Zhao, Shen, Huang, Xin, Gillen, Roland, Li, Zhijie, Liu, Song, Watanabe, Kenji, Taniguchi, Takashi, Maultzsch, Janina, Hone, James, Högele, Alexander, Baimuratov, Anvar S.
We report experimental and theoretical studies of MoTe$_2$-MoSe$_2$ heterobilayers with rigid moir\'e superlattices controlled by the twist angle. Using an effective continuum model that combines resonant interlayer electron tunneling with stacking-d
Externí odkaz:
http://arxiv.org/abs/2402.04106
The radio-frequency quadrupole (RFQ) at the Facility for Rare Isotope Beams (FRIB) is a critical device to accelerate heavy ion beams from 12 keV/u to 0.5 MeV/u for state-of-the-art nuclear physics experiments. Efficient control of the RFQ resonance
Externí odkaz:
http://arxiv.org/abs/2401.11031
Multimodal-based action recognition methods have achieved high success using pose and RGB modality. However, skeletons sequences lack appearance depiction and RGB images suffer irrelevant noise due to modality limitations. To address this, we introdu
Externí odkaz:
http://arxiv.org/abs/2401.02138
Autor:
Sun, Xiaoyi, William, Joseph, Sharma, Sachin, Kunjir, Shriraj, Morris, Dan, Zhao, Shen, Ruan, Chong-Yu
We report on the first detailed beam test attesting the fundamental principle behind the development of high-current-efficiency ultrafast electron microscope systems where a radio-frequency cavity is incorporated as a condenser lens in the beam deliv
Externí odkaz:
http://arxiv.org/abs/2401.00915