Zobrazeno 1 - 10
of 10 913
pro vyhledávání: '"WANG, Jingjing"'
Autor:
Fang, Zhengru, Wang, Jingjing, Ma, Yanan, Tao, Yihang, Deng, Yiqin, Chen, Xianhao, Fang, Yuguang
Collaborative perception enhances sensing in multi-robot and vehicular networks by fusing information from multiple agents, improving perception accuracy and sensing range. However, mobility and non-rigid sensor mounts introduce extrinsic calibration
Externí odkaz:
http://arxiv.org/abs/2410.04168
Collaborative perception systems leverage multiple edge devices, such surveillance cameras or autonomous cars, to enhance sensing quality and eliminate blind spots. Despite their advantages, challenges such as limited channel capacity and data redund
Externí odkaz:
http://arxiv.org/abs/2409.00146
We revisit the problem of statistical sequence matching between two databases of sequences initiated by Unnikrishnan (TIT 2015) and derive theoretical performance guarantees for the generalized likelihood ratio test (GLRT). We first consider the case
Externí odkaz:
http://arxiv.org/abs/2407.02816
While fine-tuned large language models (LLMs) excel in generating grammatically valid SQL in Text-to-SQL parsing, they often struggle to ensure semantic accuracy in queries, leading to user confusion and diminished system usability. To tackle this ch
Externí odkaz:
http://arxiv.org/abs/2406.13408
Previous work has demonstrated that, in the Variance Preserving (VP) scenario, the nascent Directly Denoising Diffusion Models (DDDM) can generate high-quality images in one step while achieving even better performance in multistep sampling. However,
Externí odkaz:
http://arxiv.org/abs/2405.21059
In this paper, we present the Directly Denoising Diffusion Model (DDDM): a simple and generic approach for generating realistic images with few-step sampling, while multistep sampling is still preserved for better performance. DDDMs require no delica
Externí odkaz:
http://arxiv.org/abs/2405.13540
Thermal quantities, including the the entropy density and gluon spectrum, of quark matter within a box that is finite in the longitudinal direction are calculated using a bag model. Under the assumption of entropy conservation, the corresponding gluo
Externí odkaz:
http://arxiv.org/abs/2405.03583
In this report, we present the 1st place solution for ICCV 2023 OmniObject3D Challenge: Sparse-View Reconstruction. The challenge aims to evaluate approaches for novel view synthesis and surface reconstruction using only a few posed images of each ob
Externí odkaz:
http://arxiv.org/abs/2404.10441
Autor:
Fang, Zhengru, Hu, Senkang, An, Haonan, Zhang, Yuang, Wang, Jingjing, Cao, Hangcheng, Chen, Xianhao, Fang, Yuguang
Surrounding perceptions are quintessential for safe driving for connected and autonomous vehicles (CAVs), where the Bird's Eye View has been employed to accurately capture spatial relationships among vehicles. However, severe inherent limitations of
Externí odkaz:
http://arxiv.org/abs/2404.06891
Aspect Sentiment Understanding (ASU) in interactive scenarios (e.g., Question-Answering and Dialogue) has attracted ever-more interest in recent years and achieved important progresses. However, existing studies on interactive ASU largely ignore the
Externí odkaz:
http://arxiv.org/abs/2403.05326