Zobrazeno 1 - 10
of 1 502
pro vyhledávání: '"Zhang Jianqi"'
Publikováno v:
Nanophotonics, Vol 11, Iss 3, Pp 531-541 (2022)
Borophene monolayer with its intrinsic metallic and anisotropic band structures exhibits extraordinary electronic, optical, and transport properties. Especially, the high density of Dirac electrons enables promising applications for building low-loss
Externí odkaz:
https://doaj.org/article/899f100d5c494229b1a4147301a7b3d3
Scene recognition, particularly for aerial and underwater images, often suffers from various types of degradation, such as blurring or overexposure. Previous works that focus on convolutional neural networks have been shown to be able to extract pano
Externí odkaz:
http://arxiv.org/abs/2409.14741
The requirement for 3D content is growing as AR/VR application emerges. At the same time, 3D modelling is only available for skillful experts, because traditional methods like Computer-Aided Design (CAD) are often too labor-intensive and skill-demand
Externí odkaz:
http://arxiv.org/abs/2407.19225
Video contrastive learning (v-CL) has gained prominence as a leading framework for unsupervised video representation learning, showcasing impressive performance across various tasks such as action classification and detection. In the field of video r
Externí odkaz:
http://arxiv.org/abs/2407.14069
Autor:
Zhang, Xingyu, Zhao, Siyu, Song, Zeen, Guo, Huijie, Zhang, Jianqi, Zheng, Changwen, Qiang, Wenwen
Long-term time series forecasting is a long-standing challenge in various applications. A central issue in time series forecasting is that methods should expressively capture long-term dependency. Furthermore, time series forecasting methods should b
Externí odkaz:
http://arxiv.org/abs/2407.12415
Autor:
Chen, Tianrun, Yu, Chunan, Li, Jing, Zhang, Jianqi, Zhu, Lanyun, Ji, Deyi, Zhang, Yong, Zang, Ying, Li, Zejian, Sun, Lingyun
In this paper, we introduce a new task: Zero-Shot 3D Reasoning Segmentation for parts searching and localization for objects, which is a new paradigm to 3D segmentation that transcends limitations for previous category-specific 3D semantic segmentati
Externí odkaz:
http://arxiv.org/abs/2405.19326
Autor:
Zhang, Jianqi, Wang, Jingyao, Sun, Chuxiong, Shen, Xingchen, Xu, Fanjiang, Zheng, Changwen, Qiang, Wenwen
Transformer-based methods are a mainstream approach for solving time series forecasting (TSF). These methods use temporal or variable tokens from observable data to make predictions. However, most focus on optimizing the model structure, with few stu
Externí odkaz:
http://arxiv.org/abs/2404.10337
Meta-learning enables rapid generalization to new tasks by learning knowledge from various tasks. It is intuitively assumed that as the training progresses, a model will acquire richer knowledge, leading to better generalization performance. However,
Externí odkaz:
http://arxiv.org/abs/2312.05771
Autor:
Zhou, Xin, Jing, Hui, Ren, Xingjing, Zhang, Jianqi, Huang, Ran, Li, Zhipeng, Sun, Xiaopeng, Wu, Xuezhong, Qiu, Cheng-Wei, Nori, Franco, Xiao, Dingbang
Singularities arise in diverse disciplines and play a key role in both exploring fundamental laws of physics and making highly-sensitive sensors. Higher-order (>3) singularities, with further improved performance, however, usually require exquisite t
Externí odkaz:
http://arxiv.org/abs/2302.12471
Autor:
Zhang, Jianqi, Yang, Xu, Wang, Wei, Wang, Hainian, Ding, Ling, El-Badawy, Sherif, You, Zhanping
Publikováno v:
In Automation in Construction 1 December 2024 168 Part A