Zobrazeno 1 - 10
of 2 644
pro vyhledávání: '"CAO Ke"'
Multi-modal image fusion integrates complementary information from different modalities to produce enhanced and informative images. Although State-Space Models, such as Mamba, are proficient in long-range modeling with linear complexity, most Mamba-b
Externí odkaz:
http://arxiv.org/abs/2409.01728
Autor:
Yingfei Gong, Xuan Yang, Jingkun Xu, Changming Chen, Tianyu Zhao, Shengyuan Liu, Zhenzhi Lin, Li Yang, Haitao Qian, Cao Ke
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 419-425 (2021)
The integrated energy system (IES) is the physical carrier of the Energy Internet, whose optimal operation has become a hot topic because of its effectiveness in improving energy utilization efficiency. This paper proposes an optimal operation model
Externí odkaz:
https://doaj.org/article/2ee655df9a6b45db91396ef4d051e9b2
Autor:
He, Xuanhua, Li, Lang, Wang, Yingying, Zheng, Hui, Cao, Ke, Yan, Keyu, Li, Rui, Xie, Chengjun, Zhang, Jie, Zhou, Man
Image restoration aims to reconstruct the latent clear images from their degraded versions. Despite the notable achievement, existing methods predominantly focus on handling specific degradation types and thus require specialized models, impeding rea
Externí odkaz:
http://arxiv.org/abs/2407.13181
Publikováno v:
SHS Web of Conferences, Vol 174, p 01014 (2023)
This article takes the knowledge module of part sketch surveying in Mechanical Drawing as an example to explore the BOPPPS teaching mode and the “cloud on screen” remote learning application that combines MOOC, virtual technology, and smart class
Externí odkaz:
https://doaj.org/article/8d8a8422796a4e758c12449cbb825747
Generating high-fidelity human video with specified identities has attracted significant attention in the content generation community. However, existing techniques struggle to strike a balance between training efficiency and identity preservation, e
Externí odkaz:
http://arxiv.org/abs/2404.15275
Pan-sharpening involves integrating information from low-resolution multi-spectral and high-resolution panchromatic images to generate high-resolution multi-spectral counterparts. While recent advancements in the state space model, particularly the e
Externí odkaz:
http://arxiv.org/abs/2402.12192
Autor:
Liu, Ruiping, Zhang, Jiaming, Peng, Kunyu, Chen, Yufan, Cao, Ke, Zheng, Junwei, Sarfraz, M. Saquib, Yang, Kailun, Stiefelhagen, Rainer
Integrating information from multiple modalities enhances the robustness of scene perception systems in autonomous vehicles, providing a more comprehensive and reliable sensory framework. However, the modality incompleteness in multi-modal segmentati
Externí odkaz:
http://arxiv.org/abs/2401.16923
Autor:
Cao, Ke, Liu, Ruiping, Wang, Ze, Peng, Kunyu, Zhang, Jiaming, Zheng, Junwei, Teng, Zhifeng, Yang, Kailun, Stiefelhagen, Rainer
The mobile robot relies on SLAM (Simultaneous Localization and Mapping) to provide autonomous navigation and task execution in complex and unknown environments. However, it is hard to develop a dedicated algorithm for mobile robots due to dynamic and
Externí odkaz:
http://arxiv.org/abs/2307.07763
Autor:
Liu, Ruiping, Zhang, Jiaming, Peng, Kunyu, Zheng, Junwei, Cao, Ke, Chen, Yufan, Yang, Kailun, Stiefelhagen, Rainer
Grounded Situation Recognition (GSR) is capable of recognizing and interpreting visual scenes in a contextually intuitive way, yielding salient activities (verbs) and the involved entities (roles) depicted in images. In this work, we focus on the app
Externí odkaz:
http://arxiv.org/abs/2307.07757
Autor:
Teng, Zhifeng, Zhang, Jiaming, Yang, Kailun, Peng, Kunyu, Shi, Hao, Reiß, Simon, Cao, Ke, Stiefelhagen, Rainer
Seeing only a tiny part of the whole is not knowing the full circumstance. Bird's-eye-view (BEV) perception, a process of obtaining allocentric maps from egocentric views, is restricted when using a narrow Field of View (FoV) alone. In this work, map
Externí odkaz:
http://arxiv.org/abs/2303.11910