Zobrazeno 1 - 10
of 4 868
pro vyhledávání: '"Ren Hui"'
Autor:
Li, Wu-Zhen, Zhou, Chun, Wang, Yang, Chen, Li, Chen, Ren-Hui, Han, Zhao-Qi-Zhi, Gao, Ming-Yuan, Wang, Xiao-Hua, Zheng, Di-Yuan, Xie, Meng-Yu, Li, Yin-Hai, Zhou, Zhi-Yuan, Bao, Wan-Su, Shi, Bao-Sen
Due to the high noise caused by solar background radiation, the existing satellite-based free-space quantum key distribution (QKD) experiments are mainly carried out at night, hindering the establishment of a practical all-day real-time global-scale
Externí odkaz:
http://arxiv.org/abs/2408.07552
Autor:
Xie, Meng-Yu, Niu, Su-Jian, Han, Zhao-Qi-Zhi, Li, Yin-Hai, Chen, Ren-Hui, Wang, Xiao-Hua, Gao, Ming-Yuan, Chen, Li, Song, Yue-Wei, Zhou, Zhi-Yuan, Shi, Bao-Sen
Polarimetric imaging, a technique that captures the invisible polarization-related properties of given materials, has broad applications from fundamental physics to advanced fields such as target recognition, stress detection, biomedical diagnosis an
Externí odkaz:
http://arxiv.org/abs/2408.04183
We tackle the novel class discovery in point cloud segmentation, which discovers novel classes based on the semantic knowledge of seen classes. Existing work proposes an online point-wise clustering method with a simplified equal class-size constrain
Externí odkaz:
http://arxiv.org/abs/2407.12489
Autor:
Cui, Hejie, Mao, Lingjun, Liang, Xin, Zhang, Jieyu, Ren, Hui, Li, Quanzheng, Li, Xiang, Yang, Carl
Recent advancements in multimodal foundation models have showcased impressive capabilities in understanding and reasoning with visual and textual information. Adapting these foundation models trained for general usage to specialized domains like biom
Externí odkaz:
http://arxiv.org/abs/2406.13173
Autor:
Kim, Sekeun, Ren, Hui, Guo, Peng, Ali, Abder-Rahman, Zhang, Patrick, Kim, Kyungsang, Li, Xiang, Li, Quanzheng
Echocardiography segmentation for cardiac analysis is time-consuming and resource-intensive due to the variability in image quality and the necessity to process scans from various standard views. While current automated segmentation methods in echoca
Externí odkaz:
http://arxiv.org/abs/2404.05916
Deep clustering, which learns representation and semantic clustering without labels information, poses a great challenge for deep learning-based approaches. Despite significant progress in recent years, most existing methods focus on uniformly distri
Externí odkaz:
http://arxiv.org/abs/2404.03446
Accurate myocardium segmentation across all phases in one cardiac cycle in cine cardiac magnetic resonance (CMR) scans is crucial for comprehensively cardiac function analysis. Despite advancements in deep learning (DL) for automatic cine CMR segment
Externí odkaz:
http://arxiv.org/abs/2403.10009
Autor:
Xiao, Qing, Yoon, Siyeop, Ren, Hui, Tivnan, Matthew, Sun, Lichao, Li, Quanzheng, Liu, Tianming, Zhang, Yu, Li, Xiang
Alzheimer's Disease (AD) is a neurodegenerative condition characterized by diverse progression rates among individuals, with changes in cortical thickness (CTh) closely linked to its progression. Accurately forecasting CTh trajectories can significan
Externí odkaz:
http://arxiv.org/abs/2403.06940
Autor:
Chen, Li, Ge, Zheng, Niu, Su-Jian, Li, Yin-Hai, Han, Zhao-Qi-Zhi, Song, Yue-Wei, Li, Wu-Zhen, Chen, Ren-Hui, Gao, Ming-Yuan, Xie, Meng-Yu, Zhou, Zhi-Yuan, Shi, Bao-Sen
Four wave mixing (FWM) is an important way to generate supercontinuum and frequency combs in the mid-infrared band. Here, we obtain simultaneous synthetic FWM in the visible and mid-infrared bands by cascading quadratic nonlinear processes in a perio
Externí odkaz:
http://arxiv.org/abs/2403.06927
Data scarcity and privacy concerns limit the availability of high-quality medical images for public use, which can be mitigated through medical image synthesis. However, current medical image synthesis methods often struggle to accurately capture the
Externí odkaz:
http://arxiv.org/abs/2403.06835