CASIA OpenIR

浏览/检索结果: 共30条,第1-10条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
Autonomous Driving in Underground Mines via Parallel Driving Operation Systems: Challenges, Frameworks and Cases Study 期刊论文
IEEE Transactions on Intelligent Vehicles, 2024, 页码: 1-10
作者:  Bin Tian;  Caiji Zhang;  Xuedi Hao;  Shi Meng;  Shibin Wang;  Zheng Yang;  Long Chen;  Yanlong Zhao;  Shirong Ge
Adobe PDF(11335Kb)  |  收藏  |  浏览/下载:49/5  |  提交时间:2024/07/05
SASOD: Saliency-Aware Ship Object Detection in High-Resolution Optical Images 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 15
作者:  Ren, Zhida;  Tang, Yongqiang;  Yang, Yang;  Zhang, Wensheng
Adobe PDF(5807Kb)  |  收藏  |  浏览/下载:18/2  |  提交时间:2024/07/03
ship detection  Saliency detection  high-resolution optical images  remote sensing  Deep learning  Feature extraction  Marine vehicles  Object detection  Remote sensing  Optical sensors  Optical imaging  saliency detection  
An Approach for Handwritten Chinese Text Recognition Unifying Character Segmentation and Recognition 期刊论文
Pattern Recognition, 2024, 页码: 110373
作者:  MingMing Yu(于明明);  Zhang H(张恒);  Fei Yin(殷飞);  Cheng-Lin Liu(刘成林)
Adobe PDF(5849Kb)  |  收藏  |  浏览/下载:43/16  |  提交时间:2024/06/24
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2024, 卷号: 46, 期号: 3, 页码: 1881-1897
作者:  Gao, Jin;  Lu, Yan;  Qi, Xiaojuan;  Kou, Yutong;  Li, Bing;  Li, Liang;  Yu, Shan;  Hu, Weiming
Adobe PDF(915Kb)  |  收藏  |  浏览/下载:39/15  |  提交时间:2024/06/21
Visualization  Training  Adaptation models  Data models  Optimization  Task analysis  Robustness  Online learning  few-shot online adaptation  visual tracking  continual learning  recursive least-squares estimation  
Symbolic Knowledge Reasoning on Hyper-Relational Knowledge Graphs 期刊论文
IEEE Transactions on Big Data, 2024, 页码: accept
作者:  Zikang Wang;  Linjing Li;  Daniel Zeng
Adobe PDF(4767Kb)  |  收藏  |  浏览/下载:37/15  |  提交时间:2024/06/20
hyper-relational knowledge graph, knowledge reasoning, multi-hop reasoning  
Learnable Graph Matching: A Practical Paradigm for Data Association 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024, 卷号: 46, 期号: 7, 页码: 4880-4895
作者:  He, Jiawei;  Huang, Zehao;  Wang, Naiyan;  Zhang, Zhaoxiang
Adobe PDF(3520Kb)  |  收藏  |  浏览/下载:38/9  |  提交时间:2024/06/18
Graph matching  data association  multiple object tracking  image matching  
Controller Design for a Soft Continuum Robot With Concurrent Continuous Rotation 期刊论文
IEEE/ASME Transactions on Mechatronics, 2024, 页码: 1-10
作者:  Qiangxiang, Zhao;  Shuai, Wang;  Jian, Hu;  Hongbin, Liu;  Henry, Chu
Adobe PDF(6461Kb)  |  收藏  |  浏览/下载:32/12  |  提交时间:2024/06/11
Robots  Bending  Shape  Shafts  Pneumatic systems  Electron tubes  Task analysis  Concurrent self-rotation and positioning  constrained optimization  continuum robot  Jacobian-based correction  model predictive control (MPC)  
HIDE: Hierarchical iterative decoding enhancement for multi-view 3D human parameter regression 期刊论文
Computer Animation and Virtual Worlds, 2024, 期号: 35, 页码: 3
作者:  Lin WT(林伟涛);  Zhang JG(张吉光);  Meng WL(孟维亮);  Liu XL(刘湘龙);  Zhang XP(张晓鹏)
Adobe PDF(11125Kb)  |  收藏  |  浏览/下载:24/5  |  提交时间:2024/06/11
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:46/7  |  提交时间:2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
Enhance Sample Efficiency and Robustness of End-to-end Urban Autonomous Driving via Semantic Masked World Model 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2024, 页码: 10.1109/TITS.2024.3400227
作者:  Zeyu Gao;  Yao Mu;  Chen Chen;  Jingliang Duan;  Ping Luo;  Yanfeng Lu;  Shengbo Eben Li
Adobe PDF(3954Kb)  |  收藏  |  浏览/下载:38/13  |  提交时间:2024/06/06
End-to-end autonomous driving  deep reinforcement learning  world model