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pro vyhledávání: '"Fang, Jin"'
In this technical report, we present our solution for the Vision-Centric 3D Occupancy and Flow Prediction track in the nuScenes Open-Occ Dataset Challenge at CVPR 2024. Our innovative approach involves a dual-stage framework that enhances 3D occupanc
Externí odkaz:
http://arxiv.org/abs/2407.01436
Autor:
Sancak, Kaan, Hua, Zhigang, Fang, Jin, Xie, Yan, Malevich, Andrey, Long, Bo, Balin, Muhammed Fatih, Çatalyürek, Ümit V.
Graph Neural Networks (GNNs) have shown impressive performance in graph representation learning, but they face challenges in capturing long-range dependencies due to their limited expressive power. To address this, Graph Transformers (GTs) were intro
Externí odkaz:
http://arxiv.org/abs/2406.12059
Autor:
Fu, Dongqi, Hua, Zhigang, Xie, Yan, Fang, Jin, Zhang, Si, Sancak, Kaan, Wu, Hao, Malevich, Andrey, He, Jingrui, Long, Bo
Graph transformer has been proven as an effective graph learning method for its adoption of attention mechanism that is capable of capturing expressive representations from complex topological and feature information of graphs. Graph transformer conv
Externí odkaz:
http://arxiv.org/abs/2403.16030
Autor:
Xin‐Yu Zhang, Jian‐Bo Shi, Shu‐Fang Jin, Rui‐Jie Wang, Ming‐Yu Li, Zhi‐Yuan Zhang, Xi Yang, Hai‐Long Ma
Publikováno v:
Cancer Communications, Vol 44, Iss 6, Pp 670-694 (2024)
Abstract Background Metabolic reprograming and immune escape are two hallmarks of cancer. However, how metabolic disorders drive immune escape in head and neck squamous cell carcinoma (HNSCC) remains unclear. Therefore, the aim of the present study w
Externí odkaz:
https://doaj.org/article/e4dff3e90aa34ecf882fb99667f7199a
Autor:
Fang, Jin, Zhou, Dingfu, Zhao, Jingjing, Wu, Chenming, Tang, Chulin, Xu, Cheng-Zhong, Zhang, Liangjun
Over the past few years, there has been remarkable progress in research on 3D point clouds and their use in autonomous driving scenarios has become widespread. However, deep learning methods heavily rely on annotated data and often face domain genera
Externí odkaz:
http://arxiv.org/abs/2301.12515
Two infinite sets $A$ and $B$ of non-negative integers are called \emph{perfect additive complements of non-negative integers}, if every non-negative integer can be uniquely expressed as the sum of elements from $A$ and $B$. In this paper, we define
Externí odkaz:
http://arxiv.org/abs/2301.04365
LiDAR and camera fusion techniques are promising for achieving 3D object detection in autonomous driving. Most multi-modal 3D object detection frameworks integrate semantic knowledge from 2D images into 3D LiDAR point clouds to enhance detection accu
Externí odkaz:
http://arxiv.org/abs/2212.05265
Autor:
Chenchen Zhou, Peipei Duan, Hong He, Jinlin Song, Min Hu, Yuehua Liu, Yan Liu, Jie Guo, Fang Jin, Yang Cao, Lingyong Jiang, Qingsong Ye, Min Zhu, Beizhan Jiang, Wenhua Ruan, Xiao Yuan, Huang Li, Rui Zou, Yulou Tian, Li Gao, Rui Shu, Jianwei Chen, Renkai Liu, Shujuan Zou, Xiaobing Li
Publikováno v:
International Journal of Oral Science, Vol 16, Iss 1, Pp 1-11 (2024)
Abstract Malocclusion, identified by the World Health Organization (WHO) as one of three major oral diseases, profoundly impacts the dental-maxillofacial functions, facial esthetics, and long-term development of ~260 million children in China. Beyond
Externí odkaz:
https://doaj.org/article/45bf6e503c9143d3926f32734c4a2966
Publikováno v:
Journal of Health, Population and Nutrition, Vol 43, Iss 1, Pp 1-11 (2024)
Abstract Bacterial drug resistance monitoring in hospitals is a crucial aspect of healthcare management and a growing concern worldwide. In this study, we analysed the bacterial drug resistance surveillance in our hospital from 2022 Q1 to 2023 Q2. Th
Externí odkaz:
https://doaj.org/article/2fe2d236ee6d4c589a9d5f3dca40607c
Autor:
Fang, Jin-Hui, Sándor, Csaba
Two sets $A,B$ of nonnegative integers are called \emph{additive complements}, if all sufficiently large integers can be expressed as the sum of two elements from $A$ and $B$. We further call $A,B$ \emph{perfect additive complements} if every nonnega
Externí odkaz:
http://arxiv.org/abs/2210.09680