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Robust Motion Learning for Musculoskeletal Robots Based on a Recurrent Neural Network and Muscle Synergies 期刊论文
IEEE Transactions on Automation Science and Engineering, 2024, 页码: 1-16
作者:  Jiahao Chen;  Wu YX(吴亚雄);  Yao CJ(姚超竞);  Huang X(黄销)
Adobe PDF(4084Kb)  |  收藏  |  浏览/下载：18/2  |  提交时间：2024/06/04
Layout-Aware Single-Image Document Flattening 期刊论文
ACM Transactions on Graphics, 2023, 卷号: 43, 期号: 1, 页码: 9: 1-17
作者:  Li, Pu;  Quan, Weize;  Guo, Jianwei;  Yan, Dong-Ming
Adobe PDF(3423Kb)  |  收藏  |  浏览/下载：8/3  |  提交时间：2024/06/03
Document Image Rectiication  Document Layout Analysis  Deep Neural Networks  Geometric Models  
Line-Based 3D Building Abstraction and Polygonal Surface Reconstruction From Images 期刊论文
IEEE Transactions on Visualization and Computer Graphics, 2022, 卷号: xx, 期号: xx, 页码: 1-15
作者:  Guo, Jianwei;  Liu, Yanchao;  Song, Xin;  Liu, Haoyu;  Zhang, Xiaopeng;  Cheng, Zhanglin
Adobe PDF(6913Kb)  |  收藏  |  浏览/下载：8/4  |  提交时间：2024/06/03
3D reconstruction  3D Line cloud  Scene abstraction  Polygonal mesh model  
Model-Based Trajectory Planning of a Hybrid Robot for Powerline Inspection 期刊论文
IEEE Robotics and Automation Letters, 2024, 卷号: 9, 期号: 4, 页码: 3443-3450
作者:  Zhishuo, Li;  Yunong, Tian;  Guodong, Yang;  Yanfeng, Zhang;  En, Li;  Zize, Liang;  Min, Tan
Adobe PDF(2815Kb)  |  收藏  |  浏览/下载：22/9  |  提交时间：2024/05/31
Aerial systems  Applications  constrained motion planning  motion and path planning  
Apple detection during different growth stages in orchards using the improved YOLOV3 model 期刊论文
Computers and Electronics in Agriculture, 2019, 期号: 157, 页码: 417-426
作者:  Tian YN(田雨农)
Adobe PDF(4028Kb)  |  收藏  |  浏览/下载：146/48  |  提交时间：2022/01/07
Apple images acquisition  Image augmentation  Deep learning  YOLOV3-dense  Real-time detection  
Detection of Apple Lesions in Orchards Based on Deep Learning Methods of CycleGAN and YOLOV3-Dense 期刊论文
Journal of Sensors, 2019, 期号: 2019, 页码: 1-13
作者:  Tian YN(田雨农)
Adobe PDF(26755Kb)  |  收藏  |  浏览/下载：158/37  |  提交时间：2022/01/06
optical sensors  deep learning  lesion detection  CycleGAN  DenseNet  YOLO-V3 model  
High-quality 3D Reconstruction with Depth Super-resolution and Completion 期刊论文
IEEE Access, 2019, 卷号: 7, 期号: 1, 页码: 19370-19381
作者:  Li JW(李建伟);  Gao W(高伟);  Wu YH(吴毅红)
浏览  |  Adobe PDF(4152Kb)  |  收藏  |  浏览/下载：351/98  |  提交时间：2019/04/22
Deep Learning  Super-resolution  Image Processing  Depth Completion  3d Reconstruction  
BRANT: A Versatile and Extendable Resting-State fMRI Toolkit 期刊论文
FRONTIERS IN NEUROINFORMATICS, 2018, 卷号: 12, 期号: -, 页码: 52
作者:  Xu, Kaibin;  Liu, Yong;  Zhan, Yafeng;  Ren, Jiaji;  Jiang, Tianzi
浏览  |  Adobe PDF(4680Kb)  |  收藏  |  浏览/下载：339/45  |  提交时间：2018/10/10
BRANT  resting-state fMRI  code-generated GUI  preprocessing  visualization