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CASIA OpenIR
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SASAN: Shape-Adaptive Set Abstraction Network for Point-Voxel 3D Object Detection 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:  Zhang, Hui;  Luo, Guiyang;  Wang, Xiao;  Li, Yidong;  Ding, Weiping;  Wang, Fei-Yue
收藏  |  浏览/下载：0/0  |  提交时间：2024/07/03
Feature extraction  Three-dimensional displays  Detectors  Object detection  Proposals  Point cloud compression  Shape  3D object detection  autonomous driving  point-voxel detectors  
The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0 期刊论文
Information Fusion, 2024, 卷号: 107, 页码: 1-16
作者:  Xiao Wang;  Yutong Wang;  Jing Yang;  Xiaofeng Jia;  Lijun Li;  Weiping Ding;  Fei-Yue Wang
Adobe PDF(4446Kb)  |  收藏  |  浏览/下载：29/2  |  提交时间：2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
Learning Transformer-based Cooperation for Networked Traffic Signal Control 会议论文
, Macau, China, 2022-10
作者:  Zhao, Chen;  Dai, Xingyuan;  Wang, Xiao;  Li, Lingxi;  Lv, Yisheng;  Wang, Fei-Yue
Adobe PDF(1431Kb)  |  收藏  |  浏览/下载：28/9  |  提交时间：2024/05/28
Depth-Aware Multi-Person 3D Pose Estimation With Multi-Scale Waterfall Representations 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2023, 卷号: 25, 页码: 1439-1451
作者:  Shen, Tianyu;  Li, Deqi;  Wang, Fei-Yue;  Huang, Hua
收藏  |  浏览/下载：42/0  |  提交时间：2023/11/17
Three-dimensional displays  Pose estimation  Feature extraction  Location awareness  Cameras  Semantics  Solid modeling  Human depth perceiving  multi-person 3d pose estimation  multi-scale representation  occlusion handling  
PCUNet: A Context-Aware Deep Network for Coarse-to-Fine Point Cloud Completion 期刊论文
IEEE Sensors Journal, 2022, 卷号: 22, 期号: 15, 页码: 15098-15110
作者:  Zhao, Meihua;  Xiong, Gang;  Zhou, MengChu;  Shen, Zhen;  Liu, Sheng;  Han, Yunjun;  Wang, Fei-Yue
Adobe PDF(4497Kb)  |  收藏  |  浏览/下载：158/28  |  提交时间：2023/06/27
DDRL: A Decentralized Deep Reinforcement Learning Method for Vehicle Repositioning 会议论文
, Indianapolis, IN, USA, 19-22 September 2021
作者:  Jinhao Xi;  Fenghua Zhu;  Yuanyuan Chen;  Yisheng Lv;  Chang Tan;  Feiyue Wang
Adobe PDF(1652Kb)  |  收藏  |  浏览/下载：128/23  |  提交时间：2023/06/26
GraphFit: Learning Multi-scale Graph-convolutional Representation for Point Cloud Normal Estimation 会议论文
无, Tel Aviv, Israel,, 2022-10-23
作者:  Keqiang Li;  Mingyang Zhao;  Huaiyu Wu;  Dong-Ming Yan;  Zhen Shen;  Fei-Yue Wang;  Gang Xiong
Adobe PDF(5924Kb)  |  收藏  |  浏览/下载：186/40  |  提交时间：2023/06/12
Normal estimation  unstructured 3D point clouds  graph convolution  multi-scale  
Parallel reinforcement learning: a framework and case study 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2018, 卷号: 5, 期号: 4, 页码: 827-835
作者:  Teng Liu;  Bin TIan;  Yunfeng Ai;  Li Li;  Dongpu Cao;  Feiyue Wang
Adobe PDF(7005Kb)  |  收藏  |  浏览/下载：69/16  |  提交时间：2023/05/05
The Development of AgriVerse: Past, Present, and Future 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2023, 页码: 10
作者:  Kang, Mengzhen;  Wang, Xiujuan;  Wang, Haoyu;  Hua, Jing;  de Reffye, Philippe;  Wang, Fei-Yue
Adobe PDF(4290Kb)  |  收藏  |  浏览/下载：314/81  |  提交时间：2023/02/22
Computational modeling  Biological systems  Biomass  Biological system modeling  Production  Plants (biology)  Metaverse  Agricultural metaverse (AgriVerse)  agriculture cyber-physical-social system (CPSS)  artificial systems  computational experiments  and parallel execution (ACP)  decentralized science (DeSci)  knowledge-and-data driven modeling  parallel agriculture  plant model  
Learning Markets: An AI Collaboration Framework Based on Blockchain and Smart Contracts 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2022, 卷号: 9, 期号: 16, 页码: 14273-14286
作者:  Ouyang, Liwei;  Yuan, Yong;  Wang, Fei-Yue
Adobe PDF(2684Kb)  |  收藏  |  浏览/下载：470/38  |  提交时间：2022/09/19
Collaboration  Artificial intelligence  Data models  Computational modeling  Smart contracts  Blockchain  Distributed databases  Artificial intelligence (AI) collaboration  blockchain  ensemble learning  federated learning (FL)  smart contracts