Zobrazeno 1 - 10
of 1 415
pro vyhledávání: '"Xu, Wenjun"'
This paper presents FLAF, a focal line and feature-constrained active view planning method for tracking failure avoidance in feature-based visual navigation of mobile robots. Our FLAF-based visual navigation is built upon a feature-based visual teach
Externí odkaz:
http://arxiv.org/abs/2409.03457
Autor:
Tan, Kailin, Dai, Jincheng, Liu, Zhenyu, Wang, Sixian, Qin, Xiaoqi, Xu, Wenjun, Niu, Kai, Zhang, Ping
End-to-end image transmission has recently become a crucial trend in intelligent wireless communications, driven by the increasing demand for high bandwidth efficiency. However, existing methods primarily optimize the trade-off between bandwidth cost
Externí odkaz:
http://arxiv.org/abs/2408.14127
All Robots in One: A New Standard and Unified Dataset for Versatile, General-Purpose Embodied Agents
Autor:
Wang, Zhiqiang, Zheng, Hao, Nie, Yunshuang, Xu, Wenjun, Wang, Qingwei, Ye, Hua, Li, Zhe, Zhang, Kaidong, Cheng, Xuewen, Dong, Wanxi, Cai, Chang, Lin, Liang, Zheng, Feng, Liang, Xiaodan
Embodied AI is transforming how AI systems interact with the physical world, yet existing datasets are inadequate for developing versatile, general-purpose agents. These limitations include a lack of standardized formats, insufficient data diversity,
Externí odkaz:
http://arxiv.org/abs/2408.10899
The increasing demands for massive data transmission pose great challenges to communication systems. Compared to traditional communication systems that focus on the accurate reconstruction of bit sequences, semantic communications (SemComs), which ai
Externí odkaz:
http://arxiv.org/abs/2408.05596
Autor:
Liu, Yong, Kang, Mengtian, Gao, Shuo, Zhang, Chi, Liu, Ying, Li, Shiming, Qi, Yue, Nathan, Arokia, Xu, Wenjun, Tang, Chenyu, Occhipinti, Edoardo, Yusufu, Mayinuer, Wang, Ningli, Bai, Weiling, Occhipinti, Luigi
Fundus diseases are major causes of visual impairment and blindness worldwide, especially in underdeveloped regions, where the shortage of ophthalmologists hinders timely diagnosis. AI-assisted fundus image analysis has several advantages, such as hi
Externí odkaz:
http://arxiv.org/abs/2404.13388
Autor:
Wang, Jiaqi, Kang, Mengtian, Liu, Yong, Zhang, Chi, Liu, Ying, Li, Shiming, Qi, Yue, Xu, Wenjun, Tang, Chenyu, Occhipinti, Edoardo, Yusufu, Mayinuer, Wang, Ningli, Bai, Weiling, Gao, Shuo, Occhipinti, Luigi G.
Machine learning-based fundus image diagnosis technologies trigger worldwide interest owing to their benefits such as reducing medical resource power and providing objective evaluation results. However, current methods are commonly based on supervise
Externí odkaz:
http://arxiv.org/abs/2404.13386
Intelligent task-oriented semantic communications (SemComs) have witnessed great progress with the development of deep learning (DL). In this paper, we propose a semantic-aware hybrid automatic repeat request (SemHARQ) framework for the robust and ef
Externí odkaz:
http://arxiv.org/abs/2404.08490
Semantic communications are expected to become the core new paradigms of the sixth generation (6G) wireless networks. Most existing works implicitly utilize channel information for codecs training, which leads to poor communications when channel type
Externí odkaz:
http://arxiv.org/abs/2312.03299
Semantic communications, aiming at ensuring the successful delivery of the meaning of information, are expected to be one of the potential techniques for the next generation communications. However, the knowledge forming and synchronizing mechanism t
Externí odkaz:
http://arxiv.org/abs/2308.06599
In this paper, the multi-target tracking (MTT) with an unmanned aerial vehicle (UAV) swarm is investigated in the presence of jammers, where UAVs in the swarm communicate with each other to exchange information of targets during tracking. The communi
Externí odkaz:
http://arxiv.org/abs/2306.16196