Zobrazeno 1 - 10
of 9 540
pro vyhledávání: '"Wenzhen An"'
Publikováno v:
Arabian Journal of Chemistry, Vol 16, Iss 3, Pp 104507- (2023)
(1) Background: Scutellaria baicalensis (Huang Qin) is a traditional Chinese Medicine possess beneficial effects of anti-inflammation in various diseases. In this study, we aimed to use untargeted metabolomics approach to investigate the possible und
Externí odkaz:
https://doaj.org/article/26b99d91101f45b6a85ddb1b1a8dc339
Autor:
Fang, Irving, Shi, Kairui, He, Xujin, Tan, Siqi, Wang, Yifan, Zhao, Hanwen, Huang, Hung-Jui, Yuan, Wenzhen, Feng, Chen, Zhang, Jing
Humans effortlessly integrate common-sense knowledge with sensory input from vision and touch to understand their surroundings. Emulating this capability, we introduce FusionSense, a novel 3D reconstruction framework that enables robots to fuse prior
Externí odkaz:
http://arxiv.org/abs/2410.08282
Autor:
Ruan, Jiacheng, Yuan, Wenzhen, Lin, Zehao, Liao, Ning, Li, Zhiyu, Xiong, Feiyu, Liu, Ting, Fu, Yuzhuo
Large visual-language models (LVLMs) have achieved great success in multiple applications. However, they still encounter challenges in complex scenes, especially those involving camouflaged objects. This is primarily due to the lack of samples relate
Externí odkaz:
http://arxiv.org/abs/2409.16084
Autor:
Yan, Ziyang, Dong, Wenzhen, Shao, Yihua, Lu, Yuhang, Haiyang, Liu, Liu, Jingwen, Wang, Haozhe, Wang, Zhe, Wang, Yan, Remondino, Fabio, Ma, Yuexin
End-to-end autonomous driving with vision-only is not only more cost-effective compared to LiDAR-vision fusion but also more reliable than traditional methods. To achieve a economical and robust purely visual autonomous driving system, we propose Ren
Externí odkaz:
http://arxiv.org/abs/2409.11356
Autor:
Yu, Jieming, Wang, An, Dong, Wenzhen, Xu, Mengya, Islam, Mobarakol, Wang, Jie, Bai, Long, Ren, Hongliang
The recent Segment Anything Model (SAM) 2 has demonstrated remarkable foundational competence in semantic segmentation, with its memory mechanism and mask decoder further addressing challenges in video tracking and object occlusion, thereby achieving
Externí odkaz:
http://arxiv.org/abs/2408.04593
Autor:
Guo, Ruohao, Qu, Liao, Niu, Dantong, Qi, Yanyu, Yue, Wenzhen, Shi, Ji, Xing, Bowei, Ying, Xianghua
Audio-visual semantic segmentation (AVSS) aims to segment and classify sounding objects in videos with acoustic cues. However, most approaches operate on the close-set assumption and only identify pre-defined categories from training data, lacking th
Externí odkaz:
http://arxiv.org/abs/2407.21721
Real-time 3D reconstruction of surgical scenes plays a vital role in computer-assisted surgery, holding a promise to enhance surgeons' visibility. Recent advancements in 3D Gaussian Splatting (3DGS) have shown great potential for real-time novel view
Externí odkaz:
http://arxiv.org/abs/2407.02918
In recent years, Large Language Models (LLMs) have made significant strides towards Artificial General Intelligence. However, training these models from scratch requires substantial computational resources and vast amounts of text data. In this paper
Externí odkaz:
http://arxiv.org/abs/2407.02118
Cooking robots have long been desired by the commercial market, while the technical challenge is still significant. A major difficulty comes from the demand of perceiving and handling liquid with different properties. This paper presents a robot syst
Externí odkaz:
http://arxiv.org/abs/2407.01755
Publikováno v:
Frontiers in Behavioral Neuroscience, Vol 15 (2021)
A suboptimal housing environment such as small cage size can adversely influence many aspects of the biology of laboratory animals including their response in behavioral tests. However, the effect of cage size on the mental and physical conditions of
Externí odkaz:
https://doaj.org/article/6e7d3dbbb3d949548b91aa41e2d07739