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DomainFeat: Learning Local Features With Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 卷号: 34, 期号: 1, 页码: 46-59
作者:  Xu, Rongtao;  Wang, Changwei;  Xu, Shibiao;  Meng, Weiliang;  Zhang, Yuyang;  Fan, Bin;  Zhang, Xiaopeng
Adobe PDF(6039Kb)  |  收藏  |  浏览/下载:94/13  |  提交时间:2024/03/26
Feature extraction  Location awareness  Visualization  Robustness  Image matching  Detectors  Decoding  Local features  domain adaptation  cross-domain data  consistency loss  
GRAMO: geometric resampling augmentation for monocular 3D object detection 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2024, 卷号: 18, 期号: 5, 页码: 9
作者:  Guan, He;  Song, Chunfeng;  Zhang, Zhaoxiang
Adobe PDF(2242Kb)  |  收藏  |  浏览/下载:108/3  |  提交时间:2024/02/21
3D detection  monocular  augmentation  geometry  
Advancements in Humanoid Robots: A Comprehensive Review and Future Prospects 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 301-328
作者:  Yuchuang Tong;  Haotian Liu;  Zhengtao Zhang
Adobe PDF(7587Kb)  |  收藏  |  浏览/下载:171/50  |  提交时间:2024/01/23
Future trends and challenges  humanoid robots  human-robot interaction  key technologies  potential applications  
Can Digital Intelligence and Cyber-Physical-Social Systems Achieve Global Food Security and Sustainability? 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2070-2080
作者:  Yanfen Wang;  Mengzhen Kang;  Yali Liu;  Juanjuan Li;  Kai Xue;  Xiujuan Wang;  Jianqing Du;  Yonglin Tian;  Qinghua Ni;  Fei-Yue Wang
Adobe PDF(9632Kb)  |  收藏  |  浏览/下载:308/176  |  提交时间:2023/09/22
Carbon-water balance  decision-support  digital intelligence (DI)  foundation models  planning  
Relentless False Data Injection Attacks Against Kalman-Filter-Based Detection in Smart Grid 期刊论文
IEEE Transactions on Control of Network Systems, 2022, 卷号: 9, 期号: 3, 页码: 1238-1250
作者:  Liu, Yifa;  Cheng, Long
Adobe PDF(792Kb)  |  收藏  |  浏览/下载:222/38  |  提交时间:2022/11/14
Attack sequence  false data injection  Kalman filter  smart grid security  state estimation  
Kinematics, dynamics, and load distribution analysis of a 4-PPPS redundantly actuated parallel manipulator 期刊论文
MECHANISM AND MACHINE THEORY, 2022, 卷号: 167, 页码: 22
作者:  Liu, Zhaoyang;  Tao, Rui;  Fan, Junfeng;  Wang, Zhe;  Jing, Fengshui;  Tan, Min
Adobe PDF(2483Kb)  |  收藏  |  浏览/下载:282/14  |  提交时间:2021/11/04
Redundant parallel manipulator  Kinematics  Dynamics  Screw theory  Load distribution  
Are You Confident That You Have Successfully Generated Adversarial Examples? 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 6, 页码: 2089-2099
作者:  Wang, Bo;  Zhao, Mengnan;  Wang, Wei;  Wei, Fei;  Qin, Zhan;  Ren, Kui
Adobe PDF(2235Kb)  |  收藏  |  浏览/下载:379/47  |  提交时间:2021/08/15
Perturbation methods  Iterative methods  Computational modeling  Neural networks  Security  Training  Robustness  Deep neural networks  adversarial examples  structural black box  buffer  
Vectorized indoor surface reconstruction from 3D point cloud with multistep 2D optimization 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2021, 卷号: 177, 页码: 57-74
作者:  Han, Jiali;  Rong, Mengqi;  Jiang, Hanqing;  Liu, Hongmin;  Shen, Shuhan
Adobe PDF(13876Kb)  |  收藏  |  浏览/下载:441/70  |  提交时间:2021/08/15
Indoor reconstruction  Vectorized model  Multistep 2D optimization  LoD  Semantic segmentation  
A novel framework of collaborative early warning for COVID-19 based on blockchain and smart contracts 期刊论文
INFORMATION SCIENCES, 2021, 卷号: 570, 页码: 124-143
作者:  Ouyang, Liwei;  Yuan, Yong;  Cao, Yumeng;  Wang, Fei-Yue
Adobe PDF(1322Kb)  |  收藏  |  浏览/下载:345/81  |  提交时间:2021/08/15
Blockchain  Smart contracts  Federated learning  Learning markets  Collaborative early warning  
Multi-task autoencoder based classification-regression model for patient-specific VMAT QA 期刊论文
PHYSICS IN MEDICINE AND BIOLOGY, 2020, 卷号: 65, 期号: 23, 页码: 12
作者:  Wang, Le;  Li, Jiaqi;  Zhang, Shuming;  Zhang, Xile;  Zhang, Qilin;  Chan, Maria F.;  Yang, Ruijie;  Sui, Jing
Adobe PDF(926Kb)  |  收藏  |  浏览/下载:468/98  |  提交时间:2021/01/06
VMAT QA  patient-specific QA  deep learning  radiotherapy