Zobrazeno 1 - 10
of 12 709
pro vyhledávání: '"JING, Wei"'
Autor:
Wen, Junyan, Xu, Yue, Wang, Gang, He, Ze-Xu, Chen, Yang, Wang, Ningning, Lu, Tenglong, Ma, Xiaoli, Jin, Feng, Chen, Liucheng, Liu, Miao, Fan, Jing-Wei, Liu, Xiaobing, Pan, Xin-Yu, Liu, Gang-Qin, Cheng, Jinguang, Yu, Xiaohui
Recent reports on the signatures of high-temperature superconductivity with a critical temperature Tc close to 80 K have triggered great research interest and extensive follow-up studies. Although zero-resistance state has been successfully achieved
Externí odkaz:
http://arxiv.org/abs/2410.10275
Vision language models (VLM) have achieved success in both natural language comprehension and image recognition tasks. However, their use in pathology report generation for whole slide images (WSIs) is still limited due to the huge size of multi-scal
Externí odkaz:
http://arxiv.org/abs/2409.15574
Autor:
Peng, Zhiheng, Zhao, Kai, Chen, Xiaoran, Ma, Li, Xia, Siyu, Fan, Changjie, Shang, Weijian, Jing, Wei
Efficient, accurate and low-cost estimation of human skeletal information is crucial for a range of applications such as biology education and human-computer interaction. However, current simple skeleton models, which are typically based on 2D-3D joi
Externí odkaz:
http://arxiv.org/abs/2409.01555
Publikováno v:
Phys. Rev. A 110, 012609 (2024)
Quantum digital signatures (QDSs), which distribute and measure quantum states by key generation protocols and then sign messages via classical data processing, are a key area of interest in quantum cryptography. However, the practical implementation
Externí odkaz:
http://arxiv.org/abs/2407.08131
Remote sensing shadow removal, which aims to recover contaminated surface information, is tricky since shadows typically display overwhelmingly low illumination intensities. In contrast, the infrared image is robust toward significant light changes,
Externí odkaz:
http://arxiv.org/abs/2406.17469
Autor:
Lin, Dixuan, Zhang, Yuxiang, Li, Mengcheng, Liu, Yebin, Jing, Wei, Yan, Qi, Wang, Qianying, Zhang, Hongwen
In this paper, we introduce OmniHands, a universal approach to recovering interactive hand meshes and their relative movement from monocular or multi-view inputs. Our approach addresses two major limitations of previous methods: lacking a unified sol
Externí odkaz:
http://arxiv.org/abs/2405.20330
Microscopic traffic simulation plays a crucial role in transportation engineering by providing insights into individual vehicle behavior and overall traffic flow. However, creating a realistic simulator that accurately replicates human driving behavi
Externí odkaz:
http://arxiv.org/abs/2403.17601
Accurate motion prediction of pedestrians, cyclists, and other surrounding vehicles (all called agents) is very important for autonomous driving. Most existing works capture map information through an one-stage interaction with map by vector-based at
Externí odkaz:
http://arxiv.org/abs/2403.16374