Zobrazeno 1 - 10
of 9 504
pro vyhledávání: '"HUANG, PING"'
Autor:
Mou, Shancong, Vemulapalli, Raviteja, Li, Shiyu, Liu, Yuxuan, Thomas, C, Cao, Meng, Bai, Haoping, Tuzel, Oncel, Huang, Ping, Shan, Jiulong, Shi, Jianjun
Defect segmentation is crucial for quality control in advanced manufacturing, yet data scarcity poses challenges for state-of-the-art supervised deep learning. Synthetic defect data generation is a popular approach for mitigating data challenges. How
Externí odkaz:
http://arxiv.org/abs/2410.18490
Accurate short-term forecasts of passenger flow in metro systems under delay conditions are crucial for emergency response and service recovery, which pose significant challenges and are currently under-researched. Due to the rare occurrence of delay
Externí odkaz:
http://arxiv.org/abs/2410.15111
Autor:
Yao, Xu, Wu, Xiaoxu, Li, Xi, Xu, Huan, Li, Chenlei, Huang, Ping, Li, Si, Ma, Xiaoning, Shan, Jiulong
Manufacturing quality audits are pivotal for ensuring high product standards in mass production environments. Traditional auditing processes, however, are labor-intensive and reliant on human expertise, posing challenges in maintaining transparency,
Externí odkaz:
http://arxiv.org/abs/2410.07677
Autor:
Wang, Pengyun, Huang, Ping, Jin, Yifan, Shen, Yanxin, Shahawy, Omar El, Ham, Dae Woong, O'Meara, Wendy P., Heng, Siyu
According to the WHO, in 2021, about 32% of pregnant women in sub-Saharan Africa were infected with malaria during pregnancy. Malaria infection during pregnancy can cause various adverse birth outcomes such as low birthweight. Over the past two decad
Externí odkaz:
http://arxiv.org/abs/2409.19314
Autor:
Bai, Tianyi, Liang, Hao, Wan, Binwang, Xu, Yanran, Li, Xi, Li, Shiyu, Yang, Ling, Li, Bozhou, Wang, Yifan, Cui, Bin, Huang, Ping, Shan, Jiulong, He, Conghui, Yuan, Binhang, Zhang, Wentao
Multimodal large language models (MLLMs) enhance the capabilities of standard large language models by integrating and processing data from multiple modalities, including text, vision, audio, video, and 3D environments. Data plays a pivotal role in t
Externí odkaz:
http://arxiv.org/abs/2405.16640
Modern diffusion-based image generative models have made significant progress and become promising to enrich training data for the object detection task. However, the generation quality and the controllability for complex scenes containing multi-clas
Externí odkaz:
http://arxiv.org/abs/2405.15199
Accurately reconstructing road surfaces is pivotal for various applications especially in autonomous driving. This paper introduces a position encoding Multi-Layer Perceptrons (MLPs) framework to reconstruct road surfaces, with input as world coordin
Externí odkaz:
http://arxiv.org/abs/2405.10554
Recent research that combines implicit 3D representation with semantic information, like Semantic-NeRF, has proven that NeRF model could perform excellently in rendering 3D structures with semantic labels. This research aims to extend the Semantic Ne
Externí odkaz:
http://arxiv.org/abs/2403.16043
Autor:
Xiang Zhao, Jieming Lin, Mingyang Liu, Dongxin Jiang, Yu Zhang, Xin Li, Bo Shi, Jun Jiang, Chunhui Ma, Hongda Shao, Qingrong Xu, Huang Ping, Jiajin Li, Yanzheng Gao
Publikováno v:
Journal of Nanobiotechnology, Vol 22, Iss 1, Pp 1-18 (2024)
Abstract Background Osteoarthritis (OA) is a common joint disease that leads to chronic pain and functional limitations. Recent research has revealed soluble fibroblast activation protein (FAP) secreted from OA synovium could degrade type II collagen
Externí odkaz:
https://doaj.org/article/97193c2a411b496bbb45e0b772781f27
