Zobrazeno 1 - 10
of 471
pro vyhledávání: '"Deng, Zhuo"'
Tabular data is the most common type of data in real-life scenarios. In this study, we propose the TabKANet model for tabular data modeling, which targets the bottlenecks in learning from numerical content. We constructed a Kolmogorov-Arnold Network
Externí odkaz:
http://arxiv.org/abs/2409.08806
Autor:
Liang, Jing, Deng, Zhuo, Zhou, Zheming, Sun, Min, Ghasemalizadeh, Omid, Kuo, Cheng-Hao, Sen, Arnie, Manocha, Dinesh
We present a new algorithm, Cross-Source-Context Place Recognition (CSCPR), for RGB-D indoor place recognition that integrates global retrieval and reranking into a single end-to-end model. Unlike prior approaches that primarily focus on the RGB doma
Externí odkaz:
http://arxiv.org/abs/2407.17457
Autor:
Liang, Jing, Deng, Zhuo, Zhou, Zheming, Ghasemalizadeh, Omid, Manocha, Dinesh, Sun, Min, Kuo, Cheng-Hao, Sen, Arnie
We present a novel end-to-end algorithm (PoCo) for the indoor RGB-D place recognition task, aimed at identifying the most likely match for a given query frame within a reference database. The task presents inherent challenges attributed to the constr
Externí odkaz:
http://arxiv.org/abs/2404.02885
Autor:
Chen, Xiaotong, Zhou, Zheming, Deng, Zhuo, Ghasemalizadeh, Omid, Sun, Min, Kuo, Cheng-Hao, Sen, Arnie
Reconstructing transparent objects using affordable RGB-D cameras is a persistent challenge in robotic perception due to inconsistent appearances across views in the RGB domain and inaccurate depth readings in each single-view. We introduce a two-sta
Externí odkaz:
http://arxiv.org/abs/2310.09956
Autor:
Gao, Weihao, Deng, Zhuo, Niu, Zhiyuan, Rong, Fuju, Chen, Chucheng, Gong, Zheng, Zhang, Wenze, Xiao, Daimin, Li, Fang, Cao, Zhenjie, Ma, Zhaoyi, Wei, Wenbin, Ma, Lan
Large multimodal language models (LMMs) have achieved significant success in general domains. However, due to the significant differences between medical images and text and general web content, the performance of LMMs in medical scenarios is limited
Externí odkaz:
http://arxiv.org/abs/2306.12174
Autor:
Bai, Shurui1 (AUTHOR) bsr22@mails.tsinghua.edu.cn, Deng, Zhuo1 (AUTHOR) dengz24@mails.tsinghua.edu.cn, Yang, Jingyan2 (AUTHOR) ccmu_yangjingyan@163.com, Gong, Zheng1 (AUTHOR) hudenjear@gmail.com, Gao, Weihao1 (AUTHOR) gwh20@mails.tsinghua.edu.cn, Shao, Lei2 (AUTHOR) qlhp@hotmail.com, Li, Fang1 (AUTHOR) lifangmable616@163.com, Wei, Wenbin2 (AUTHOR) weiwenbintr@163.com, Ma, Lan1 (AUTHOR) malan@sz.tsinghua.edu.cn
Publikováno v:
Bioengineering (Basel). Sep2024, Vol. 11 Issue 9, p950. 14p.
Publikováno v:
In Heliyon 15 October 2024 10(19)
Autor:
Deng, Zhuo, Cai, Yuanhao, Chen, Lu, Gong, Zheng, Bao, Qiqi, Yao, Xue, Fang, Dong, Zhang, Shaochong, Ma, Lan
Ophthalmologists have used fundus images to screen and diagnose eye diseases. However, different equipments and ophthalmologists pose large variations to the quality of fundus images. Low-quality (LQ) degraded fundus images easily lead to uncertainty
Externí odkaz:
http://arxiv.org/abs/2201.00466
Autor:
Deng, Zhuo1 (AUTHOR) harry.kim@utsouthwestern.edu, Kim, Harry K. W.1,2 (AUTHOR), Hernandez, Paula A.2 (AUTHOR), Ren, Yinshi1,2 (AUTHOR) yinshi.ren@tsrh.org
Publikováno v:
Cells (2073-4409). Jul2024, Vol. 13 Issue 14, p1227. 14p.
Autor:
Wu, Chenyan, Chen, Yukun, Luo, Jiajia, Su, Che-Chun, Dawane, Anuja, Hanzra, Bikramjot, Deng, Zhuo, Liu, Bilan, Wang, James, Kuo, Cheng-Hao
Body orientation estimation provides crucial visual cues in many applications, including robotics and autonomous driving. It is particularly desirable when 3-D pose estimation is difficult to infer due to poor image resolution, occlusion or indisting
Externí odkaz:
http://arxiv.org/abs/2011.13688