Zobrazeno 1 - 10
of 3 988
pro vyhledávání: '"Yao,Lei"'
Autor:
Zheng, Ying, Yao, Lei, Su, Yuejiao, Zhang, Yi, Wang, Yi, Zhao, Sicheng, Zhang, Yiyi, Chau, Lap-Pui
Embodied learning for object-centric robotic manipulation is a rapidly developing and challenging area in embodied AI. It is crucial for advancing next-generation intelligent robots and has garnered significant interest recently. Unlike data-driven m
Externí odkaz:
http://arxiv.org/abs/2408.11537
In recent years, transformer-based models have exhibited considerable potential in point cloud instance segmentation. Despite the promising performance achieved by existing methods, they encounter challenges such as instance query initialization prob
Externí odkaz:
http://arxiv.org/abs/2407.11564
Autor:
Liu, Moyun, Chen, Bing, Chen, Youping, Xie, Jingming, Yao, Lei, Zhang, Yang, Zhou, Joey Tianyi
Depth completion is a crucial task in autonomous driving, aiming to convert a sparse depth map into a dense depth prediction. Due to its potentially rich semantic information, RGB image is commonly fused to enhance the completion effect. Image-guided
Externí odkaz:
http://arxiv.org/abs/2401.15902
In the rapid development of artificial intelligence, solving complex AI tasks is a crucial technology in intelligent mobile networks. Despite the good performance of specialized AI models in intelligent mobile networks, they are unable to handle comp
Externí odkaz:
http://arxiv.org/abs/2310.09049
Publikováno v:
精准医学杂志, Vol 39, Iss 6, Pp 500-504 (2024)
Objective To perform automatic fine brain segmentation and brain region quantitative analysis based on magnetic resonance imaging (MRI) postprocessing technology, and to investigate the structural features of brain regions in drug-resis-tant temporal
Externí odkaz:
https://doaj.org/article/dcaa30e6712342ec8e753926048e2cd9
Publikováno v:
Virology Journal, Vol 21, Iss 1, Pp 1-10 (2024)
Abstract Background During the COVID-19 pandemic between 2020 and 2022 in China, various non-pharmaceutical interventions (NPIs) were implemented to reduce the spread of SARS-CoV-2 and other respiratory pathogens. From 2023, China downgraded the mana
Externí odkaz:
https://doaj.org/article/0f32d98539c14afd9384fe1e86fe604f
Autor:
Frank Qingyun Wang, Xiao Dang, Huidong Su, Yao Lei, Chun Hing She, Caicai Zhang, Xinxin Chen, Xingtian Yang, Jing Yang, Hong Feng, Wanling Yang
Publikováno v:
Mobile DNA, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Background Systemic Lupus Erythematosus (SLE) is a complex autoimmune disorder, and transposable elements (TEs) have been hypothesized to play a significant role in its development. However, limited research has explored this connection. Our
Externí odkaz:
https://doaj.org/article/d97932dbca7241c0ba5a1629d577faaf
High-dimensional token embeddings underpin Large Language Models (LLMs), as they can capture subtle semantic information and significantly enhance the modelling of complex language patterns. However, this high dimensionality also introduces considera
Externí odkaz:
http://arxiv.org/abs/2307.00526
Publikováno v:
BMC Ophthalmology, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background This retrospective study aimed to analyze the evolution of primary indications and surgical techniques for corneal transplantation in Southern China from 2012 to 2021. Methods The medical charts of all patients who underwent kerat
Externí odkaz:
https://doaj.org/article/e4e3643b0495452bba04ed3926e5318a
Despite the omnipresence of tensors and tensor operations in modern deep learning, the use of tensor mathematics to formally design and describe neural networks is still under-explored within the deep learning community. To this end, we introduce the
Externí odkaz:
http://arxiv.org/abs/2303.13565