Zobrazeno 1 - 10
of 13 768
pro vyhledávání: '"An, Shengyu"'
For high-level geo-spatial applications and intelligent robotics, accurate global pose information is of crucial importance. Map-aided localization is a universal approach to overcome the limitations of global navigation satellite system (GNSS) in ch
Externí odkaz:
http://arxiv.org/abs/2412.01500
From 5G onwards, Non-Terrestrial Networks (NTNs) have emerged as a key component of future network architectures. Leveraging Low Earth Orbit (LEO) satellite constellations, NTNs are capable of building a space Internet and present a paradigm shift in
Externí odkaz:
http://arxiv.org/abs/2412.00820
Autor:
Ke, Bingxin, Narnhofer, Dominik, Huang, Shengyu, Ke, Lei, Peters, Torben, Fragkiadaki, Katerina, Obukhov, Anton, Schindler, Konrad
Video depth estimation lifts monocular video clips to 3D by inferring dense depth at every frame. Recent advances in single-image depth estimation, brought about by the rise of large foundation models and the use of synthetic training data, have fuel
Externí odkaz:
http://arxiv.org/abs/2411.19189
Study on the Influence of Embodied Avatars on Gait Parameters in Virtual Environments and Real World
In this study, we compare the virtual and real gait parameters to investigate the effect of appearances of embodied avatars and virtual reality experience on gait in physical and virtual environments. We developed a virtual environment simulation and
Externí odkaz:
http://arxiv.org/abs/2411.18949
This paper explores the application and effectiveness of Test-Time Training (TTT) layers in improving the performance of recommendation systems. We developed a model, TTT4Rec, utilizing TTT-Linear as the feature extraction layer. Our tests across mul
Externí odkaz:
http://arxiv.org/abs/2411.15186
Autor:
Zhao, Cheng, Huang, Song, He, Mengfan, Montero-Camacho, Paulo, Liu, Yu, Renard, Pablo, Tang, Yunyi, Verdier, Aurelien, Xu, Wenshuo, Yang, Xiaorui, Yu, Jiaxi, Zhang, Yao, Zhao, Siyi, Zhou, Xingchen, He, Shengyu, Kneib, Jean-Paul, Li, Jiayi, Li, Zhuoyang, Wang, Wen-Ting, Xianyu, Zhong-Zhi, Zhang, Yidian, Gsponer, Rafaela, Li, Xiao-Dong, Rocher, Antoine, Zou, Siwei, Tan, Ting, Huang, Zhiqi, Wang, Zhuoxiao, Li, Pei, Rombach, Maxime, Dong, Chenxing, Forero-Sanchez, Daniel, Shan, Huanyuan, Wang, Tao, Li, Yin, Zhai, Zhongxu, Wang, Yuting, Zhao, Gong-Bo, Shi, Yong, Mao, Shude, Huang, Lei, Guo, Liquan, Cai, Zheng
The MUltiplexed Survey Telescope (MUST) is a 6.5-meter telescope under development. Dedicated to highly-multiplexed, wide-field spectroscopic surveys, MUST observes over 20,000 targets simultaneously using 6.2-mm pitch positioning robots within a ~5
Externí odkaz:
http://arxiv.org/abs/2411.07970
Current 3D human motion reconstruction methods from monocular videos rely on features within the current reconstruction window, leading to distortion and deformations in the human structure under local occlusions or blurriness in video frames. To est
Externí odkaz:
http://arxiv.org/abs/2411.04399
Retrieval-Augmented Generation (RAG) has proven to be an effective method for mitigating hallucination issues inherent in large language models (LLMs). Previous approaches typically train retrievers based on semantic similarity, lacking optimization
Externí odkaz:
http://arxiv.org/abs/2411.03957
Autonomous cooperative planning (ACP) is a promising technique to improve the efficiency and safety of multi-vehicle interactions for future intelligent transportation systems. However, realizing robust ACP is a challenge due to the aggregation of pe
Externí odkaz:
http://arxiv.org/abs/2411.00413
Autor:
Zhang, Yiming, He, Baoyi, Zhang, Shengyu, Fu, Yuhao, Zhou, Qi, Sang, Zhijie, Hong, Zijin, Yang, Kejing, Wang, Wenjun, Yuan, Jianbo, Ning, Guanghan, Li, Linyi, Ji, Chunlin, Wu, Fei, Yang, Hongxia
Recent advancements in building domain-specific large language models (LLMs) have shown remarkable success, especially in tasks requiring reasoning abilities like logical inference over complex relationships and multi-step problem solving. However, c
Externí odkaz:
http://arxiv.org/abs/2410.13699